99 Bi Analyst Jobs in Coimbatore

Role: Premium Acquisition Manager (PAM) Location: Chennai / Coimbatore CTC: Up to 4.5 LPA Qualification: Full-time Graduate (10+2+3 / 10+2+4, Regular College) Experience: 15 Years Age Limit: Up to 32 Years Requirement: Two-wheeler with valid Driving License (Mandatory)  Contact Person- Tharani Contact - +91 8667869865 Email   :   tharani@liveconnections.in Role Overview The Premium Acquisition Manager (PAM) will be responsible for acquiring high-value customers, driving CASA growth, and managing HNI client relationships. The role demands strong sales skills, customer engagement capability, and the ability to build long-term relationships with premium clients. The candidate should have prior experience in CASA sales, current account acquisition, or handling HNI customers in the banking or financial services sector. Key Responsibilities Customer Acquisition & Business Development Acquire new high-value customers for CASA and Premium Banking products. Drive Current Account and Savings Account (CASA) acquisition through field sales. Identify and tap potential customer segments within the assigned geography. HNI Client Handling Manage and maintain relationships with HNI (High Net-Worth Individuals). Provide personalized banking solutions based on customer needs. Ensure high levels of service and engagement for premium clients. Portfolio & Revenue Management Achieve monthly and quarterly acquisition targets. Cross-sell relevant banking products such as FD, RD, debit cards, insurance, etc. Ensure continuous monitoring of customer satisfaction and product usage. Market Intelligence & Reporting Track competitor activities and market trends in the assigned area. Maintain accurate documentation, sales reports, and customer interaction records. Share feedback on customer needs and product improvements. Required Skills & Competencies Technical / Domain Skills CASA Sales Current Account Acquisition HNI Client Handling Field Sales Exposure Cross-Selling Banking Products Soft Skills Excellent communication & interpersonal skills Customer-centric approach Negotiation and persuasion ability Strong relationship-building skills Self-driven and target-oriented

The Data Analyst will be responsible for collecting, cleaning, analyzing, and interpreting large datasets to help drive strategic business decisions. The role involves creating dashboards, reports, and insights that enable cross-functional teams to make data-driven decisions.   Collect, clean, and validate data from multiple sources (databases, APIs, Excel files, etc.). Analyze datasets to identify trends, patterns, and insights. Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Excel. Collaborate with business and technical teams to understand data requirements. Perform data quality checks and ensure data accuracy and consistency. Generate actionable insights and present them to stakeholders through visualizations and presentations. Support data migration, integration, and automation processes. Work closely with the Data Engineering and Business Intelligence teams to improve data pipelines and reporting systems.

Analyze supply chain data to identify trends, inefficiencies, and areas for improvement. Monitor transportation costs, delivery performance, and carrier metrics. Collaborate with cross-functional teams (procurement, warehouse, transportation, planning). Develop and maintain dashboards, KPIs, and reporting tools. Optimize routes, inventory levels, and shipping strategies. Support contract negotiations with carriers and logistics service providers. Use logistics software (e.g., TMS, WMS, ERP systems) for planning and analysis. Ensure compliance with local, national, and international logistics regulations. Prepare reports and present recommendations to senior management. Bachelors degree in Logistics, Supply Chain Management, Business, or a related field. 2+ years of experience in logistics, supply chain, or data analysis. Strong proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Experience with logistics software (e.g., SAP, Oracle, JDA, Manhattan). Excellent analytical, problem-solving, and communication skills. Knowledge of transportation regulations, Incoterms, and freight processes is a plus.

In this role, you will be responsible for: - Performing deep dive analysis and responding to internal queries raised by the team. - Fulfilling stakeholder interactions over email/phone for escalation/enquiry that require client inputs and ensuring timely clarification of queries to the team. - Demonstrating a strong understanding of current processes and procedures to identify areas of opportunities for improvement. - Utilizing specialized knowledge to coordinate day-to-day work effectively. - Completing a wide range of tasks and assignments with an understanding of how work impacts results for the area. - Working under pressure and meeting tight deadlines. - Resolving more complex situations by applying established knowledge and skills acquired through job experience and support from experienced individuals. Requirements for this role include: - Minimum of 4 years of relevant insurance experience in customer service-related tasks. - Proficiency in using Microsoft Office-based tools. - Strong reporting, problem-solving, and research skills. - Expertise in analytical tools such as Microsoft Power BI and Advanced Excel. - Excellent communication skills with a focus on reading comprehension and writing. - Consistent work history. - Strong interpersonal and customer service skills. - Sound process knowledge in Life Insurance & Annuities. - Building positive relationships with all stakeholders. - Ability to identify opportunities for process improvement. - Willingness to relocate and flexibility to work night shifts. - Confidence, aggressiveness, and result-oriented mindset. - Flexibility to work night shifts aligned with the United States time zone. - Availability to work at the NTT office 5 days a week. Preferences: - Effective communication skills (oral and written) to exchange information with clients. - Graduation with English as a compulsory subject.,

As a Product Data Analyst at Responsive, you will play a crucial role in driving data-informed decisions by analyzing product data and providing valuable insights. Your responsibilities will include designing, developing, and maintaining robust data pipelines using Python, analyzing product data from various sources, creating interactive reports and dashboards using Tableau, implementing data quality checks, collaborating with product and analytics teams, and presenting analytical findings to stakeholders. Additionally, you will document data architecture, ETL processes, and analytical findings for internal reference and compliance. Key Responsibilities: - Design, develop, and maintain robust data pipelines using Python to extract, transform, and load data from MongoDB into PostgreSQL. - Analyze product data from various sources to deliver meaningful insights and recommendations. - Create and maintain interactive reports and dashboards using Tableau or other BI tools to visualize data trends, KPIs, and metrics. - Implement data quality checks and validation processes to ensure data integrity and accuracy throughout the ETL process. - Collaborate with product and analytics teams to understand data requirements and ensure accurate data extraction. - Blend data from multiple sources or establish relationships between datasets to provide a holistic view of business needs. - Present analytical findings to both technical and non-technical stakeholders, helping them understand key trends and insights. - Document data architecture, ETL processes, and analytical findings for internal reference and compliance. - Stay updated with industry best practices in data engineering, data analysis, and data governance to enhance the organization's data strategy. Qualifications Required: - Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. - 2 to 6 years of direct experience in product data analysis or a related field. - Experience with SQL database and Python scripting is preferred. - NoSQL experience is an advantage. Additional Details: Responsive (formerly RFPIO) is the global leader in strategic response management software, headquartered in Portland, OR, with additional offices in Kansas City, MO and Coimbatore, India. The AI-powered Responsive Platform is purpose-built to manage responses at scale, empowering companies worldwide to accelerate growth, mitigate risk, and improve employee experiences. Nearly 2,000 customers have standardized on Responsive to respond to various types of information requests like RFPs, RFIs, DDQs, ESGs, and security questionnaires.,

As a Data Analyst at our company, you will play a crucial role in transforming data into valuable insights that drive strategic business decisions. You will collaborate with various teams to analyze performance, trends, and opportunities within our educational platforms and operations. Key Responsibilities: - Collect and analyze data to identify trends and patterns. - Interpret data to generate actionable insights for decision-making. - Develop dashboards, reports, and visualizations for stakeholders. - Work with cross-functional teams to define key metrics. - Ensure data accuracy, integrity, and consistency. - Support data-driven strategies to enhance student engagement and outcomes. Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. - Proven experience as a Data Analyst or in a similar role (0-2+ years preferred). - Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). - Familiarity with Python or R for data analysis is a plus. - Strong analytical and problem-solving abilities. - Excellent communication skills with great attention to detail. In addition to the qualifications mentioned above, the job type for this position is full-time, and the educational requirement is a Bachelor's degree. The work location is in person. This job offers the opportunity to work as a Data Analyst, where you can leverage your analytical skills to drive meaningful insights and contribute to data-driven strategies.,

You will be responsible for supporting the analytics team in collecting, processing, and interpreting data to drive informed decision-making. This role is suitable for individuals who are detail-oriented, curious, and eager to learn data analysis tools and techniques while contributing to ongoing projects. - Gather, clean, and validate large datasets from multiple sources. - Perform descriptive and exploratory data analysis to identify trends, patterns, and anomalies. - Assist in developing dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel. - Support and prepare summary reports for management review. - Collaborate with senior analysts to develop key performance indicators (KPIs) and performance tracking systems. - Maintain data accuracy, integrity, and documentation across projects. - Participate in data quality audits and support automation of repetitive reporting tasks. Qualifications and Skills: - Bachelors degree in Statistics, Economics, Mathematics, Computer Science, or a related field. - Strong analytical and quantitative skills with attention to detail. - Proficiency in MS Excel; familiarity with SQL, Python, or R is an added advantage. - Experience with data visualization tools (Tableau, Power BI, or similar). - Ability to communicate findings clearly through written reports and presentations. - Eagerness to learn and grow within a data-focused environment. Preferred Qualities: - Internship or academic project experience in data analysis or business analytics. - Understanding of database management concepts. - Strong teamwork, problem-solving, and organizational skills.,

As a Data Analyst & Graphic Design Intern at profenaa infotech, you will play a crucial role in combining data analysis and visual storytelling. Working closely with the analytics and creative teams, you will transform data insights into visually engaging reports, dashboards, and marketing materials. **Key Responsibilities:** - Collect, clean, and analyze datasets using tools like Excel, Google Sheets, or SQL - Develop dashboards and visual reports with tools such as Tableau, Power BI, or Google Data Studio - Translate complex data into actionable insights - Design visual content for reports, social media, presentations, and marketing campaigns - Create infographics, charts, and promotional materials - Ensure brand consistency across all visual communications **Qualifications Required:** - Current student or recent graduate in Data Analytics, Graphic Design, Marketing, Business, or related fields - Basic understanding of data analysis tools (Excel, Google Sheets, SQL, or Python is a plus) - Proficiency in Adobe Creative Suite (Illustrator, Photoshop, InDesign) or Canva - Strong visual communication and storytelling skills - Detail-oriented and organized - Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker Studio) is preferred - Knowledge of marketing or social media analytics - Portfolio showcasing both analytical and design work (school projects included) At profenaa infotech, you will gain real-world experience by working on cross-functional projects. You will receive mentorship from experienced professionals in both data and design, building a strong portfolio that combines data-driven analysis and visual design. Successful completion may lead to potential full-time employment. To apply for this position, please submit your resume, cover letter, and a portfolio or sample of past work to the provided contact details. Please note the benefits include cell phone reimbursement, health insurance, and paid time off. This internship opportunity is for a duration of 6 months, offering both full-time and part-time options. Feel free to reach out for any clarifications or further details.,

As a Senior Data Modeler at our organization, you will play a crucial role in defining and evolving our data architecture and modeling practices. You will collaborate with cross-functional teams, mentor others, and contribute to the development of enterprise data models. **Key Responsibilities:** - Assist in establishing and maintaining information architecture best practices aligned with the organization's data strategy - Drive data modeling initiatives and contribute to the overall data architecture design and development - Develop and maintain conceptual, logical, and physical data models following industry standards - Capture and manage metadata within the enterprise data catalog for accurate documentation - Evaluate proposed data models in purchased applications and ensure compliance with standards - Educate stakeholders on data strategy principles to promote a strong data culture - Ensure compliance with security and regulatory policies in enterprise information architecture - Collaborate with stakeholders to design effective data models meeting evolving requirements - Participate in design reviews at different stages of the development lifecycle **Qualifications Required:** - A university degree equivalent to BS/MS in Computer Science, Life Sciences, or related field - 5+ years of experience as a Business Analyst with expertise in business process reengineering and user requirement gathering - Proficient in data modeling, ERWin diagrams, data analytics, SQL, data warehousing, and business intelligence practices - Strong communication skills in English In addition to the key responsibilities and qualifications, it would be nice to have experience in the pharmaceutical industry, agile methodologies, team coordination, and familiarity with Collibra.,

As a Tableau Developer at Value Health Inc, you play a crucial role in assisting organizations to visualize and analyze data, providing valuable insights that drive strategic decision-making. You will specialize in utilizing the Tableau software suite to design interactive and intuitive dashboards and reports. By bridging the gap between complex data and stakeholders, you ensure that data is presented clearly, empowering informed business decisions. **Key Responsibilities:** - Experience with creation of users, groups, projects, workbooks, and the appropriate permission sets for Tableau server logons and security checks. - Experience in Tableau Desktop/Server architecture. - Creating, configuring, and deploying Tableau Servers. - Creating visualization and publishing. - Familiarity with Tableau Authorization concepts. - Working with multiple data sources and handling large volumes of data. - Designing and developing Dynamic Tableau visualization solutions that can change on the fly using configuration. - Experience in dashboards and document designing. - Strong Data Warehousing and Business Intelligence skills. - End-to-End creation of Tableau Dashboards. - Mapping reporting requirements to the Data Models. **Qualifications:** - Bachelor's or master's degree in computer science, Information Technology, or a related field. - 3-6 years of hands-on experience in delivering analytical, BI, and reporting products and services using Tableau. **Preferred:** - Exceptional problem-solving and analytical skills. - Ability to work regular day or afternoon shifts as per business requirements. - Ability to commute/relocate to Coimbatore. - This position involves working from the office only and may require occasional extension of work or weekend work to accommodate client requests. At Value Health Inc, you will thrive in a dynamic growth environment where every day presents new opportunities for professional development and personal growth. Enjoy the freedom to think innovatively and experiment with tasks, fostering a culture that values and rewards outside-the-box thinking. Take charge of pivotal decisions that directly shape the success of crucial companies, contributing to their growth and prosperity. Immerse yourself in a wealth of learning opportunities, growing your skill set, exploring diverse topics of interest, and actively sharing your knowledge within a collaborative and supportive community. If you envision a workplace where your potential meets purpose, Value Health Inc invites you to be a part of their customer and employee-friendly culture. Embrace a community where your contributions matter, and impactful growth is a shared journey. Your journey towards professional fulfillment begins here!,

As a Data Analyst at our company in Coimbatore, Tamil Nadu, you will play a crucial role in collecting, cleaning, and analyzing data from various sources. Your strong analytical skills and passion for working with data will enable you to generate insights that drive business decisions effectively. You will have the opportunity to collaborate with different teams to understand data requirements and support decision-making processes. Key Responsibilities: - Collect, clean, and analyze data from various sources. - Utilize Excel, SQL, and data visualization tools (e.g., Power BI, Tableau) to interpret and present data effectively. - Identify trends, patterns, and insights to support decision-making processes. - Generate reports and dashboards for management to facilitate informed decisions. - Assist in automating data-related processes and enhancing efficiency. - Collaborate closely with different teams to comprehend data requirements. Required Skills: - Basic understanding of Excel, SQL, and Power BI/Tableau. - Strong analytical and problem-solving skills to derive meaningful insights. - Effective communication and presentation skills to convey data findings. - Attention to detail and ability to handle large datasets efficiently. - Knowledge of Python or R is a plus (but not mandatory). Qualifications: - Bachelors degree in Mathematics, Statistics, Computer Science, Economics, or a related field. - Freshers or candidates with 0-1 year of experience are welcome. - Certification in data analytics is preferred but not mandatory. In addition to the above responsibilities and qualifications, our company offers the following perks and benefits: - Opportunity to learn from industry experts. - Career growth opportunities within the company. - Friendly and collaborative work environment. Please note the following details regarding the job: - Job Types: Full-time, Permanent - Benefits: Leave encashment, Provident Fund - Schedule: Day shift, Fixed shift - Performance bonus, Yearly bonus - Ability to commute/relocate: Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) - Work Location: In person,

As a Tableau Developer at Value Health Inc, you will specialize in utilizing the Tableau software suite to design interactive and intuitive dashboards and reports. Your role will be crucial in assisting organizations to visualize and analyze data, providing valuable insights that drive strategic decision-making. By bridging the gap between complex data and stakeholders, you will ensure that data is presented clearly, empowering informed business decisions. Your key responsibilities will include: - Experience with creation of users, groups, projects, workbooks, and the appropriate permission sets for Tableau server logons and security checks. - Experience in Tableau Desktop/Server architecture. - Experience in creating, configuring, and deploying Tableau Servers. - Experience in creating visualization and publishing. - Experience on Tableau Authorization concepts. - Experience in working with multiple data sources and handling large volumes of data. - Strong experience with the design and development of Dynamic Tableau visualization solutions that can change on the fly using configuration. - Dashboards and document designing experience. - Strong DW-BI Skills. - End-to-End creation of Tableau Dashboards. - Mapping reporting requirements to the Data Models. Qualifications required for this role: - Bachelor's or master's degree in computer science, Information Technology, or a related field. - 3 years of hands-on experience in delivering analytical, BI, and reporting products and services using Tableau. Value Health Inc is one of the fastest-growing Life Sciences Consulting, Digital Transformation, and Productized Services companies working with Fortune 500 companies globally. With a rich domain and consulting experience in Healthcare and Life Sciences, you will be part of a dynamic growth environment, where professional development and personal growth opportunities are abundant. Value Health Inc fosters a culture that values creativity, impactful decision-making, and continuous learning, making it an ideal place for you to grow and thrive.,

You will be joining a leading UK-based Digital Agency that is expanding its presence in India as a Data Engineer. In this role, you will be responsible for designing and building scalable data solutions that power next-generation property technology. If you have strong C# and SQL skills, enjoy building ETL pipelines, and excel at transforming raw data into valuable business insights, this is an excellent opportunity for you. You will work with cutting-edge Microsoft tools, collaborate with global teams, and contribute to a fast-growing industry. **Key Responsibilities:** - Design, build, and maintain robust ETL/ELT pipelines to process large-scale property data. - Collaborate with UK-based data analysts and developers to ensure smooth data flow into dashboards and reports. - Develop and manage data lakes and data warehouses using Azure Synapse, Data Factory, and Databricks. - Write and maintain C# code for data orchestration and contribute to shared repositories with best practices. - Integrate various data sources through APIs, Dataverse, ODBC, and other connectors. - Ensure data is well-modeled and optimized for Power BI performance and business intelligence use. - Monitor data pipeline performance, troubleshoot issues, and recommend improvements. **Qualifications:** - Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field. - 3-5 years of hands-on experience in data engineering, backend development, or data orchestration. - Strong programming skills in C# and advanced knowledge of SQL, including complex queries and performance tuning. - Proficiency with Git, CI/CD pipelines, and collaborative development workflows. - Experience integrating diverse data sources such as APIs, ODBC, and connectors. - Bonus: Familiarity with Python, Dataverse, Power Platform, or experience in the property/real estate industry. - Excellent analytical skills, problem-solving mindset, and strong communication skills. The company is a technology-driven property solutions company with roots in London, UK. They are transforming the way property professionals operate globally by building a unique technology ecosystem. Their expertise includes data architecture, advanced analytics, bespoke software solutions, and seamless integrations supported by Microsoft's modern data stack and custom in-house tools. They work closely with a global network of talented teams to deliver tailor-made, end-to-end property technology solutions. Candidates interested in this opportunity can submit their resumes to jobs@prognova.co.,

Role Overview: You will be working as an Analyst L3 at Wipro Limited in Coimbatore, Tamil Nadu. Wipro Limited is a leading technology services and consulting company dedicated to creating innovative solutions that cater to the complex digital transformation needs of clients. With a global presence and a workforce of over 230,000 employees, Wipro is committed to helping clients, employees, and communities thrive in an ever-evolving world. Key Responsibilities: - Utilize your expertise in TIBCO Spotfire BI to deliver high-quality business intelligence solutions. - Collaborate with team members to design and implement innovative solutions that meet client requirements. - Analyze data, generate insights, and present findings to stakeholders effectively. - Stay updated with the latest trends and technologies in the BI domain to enhance project delivery. Qualifications Required: - You should have a minimum of 3-5 years of experience in TIBCO Spotfire BI. - Strong analytical skills and the ability to work effectively in a team environment. - Excellent communication and presentation skills to interact with stakeholders and convey complex information clearly. Additional Details: Wipro Limited is on a journey to build a modern organization focused on digital transformation. As part of the team, you will be encouraged to reinvent yourself, your career, and your skills. Wipro values constant evolution and empowers its employees to drive their own reinvention. Join us and be a part of a purpose-driven business where you can shape your future.,

**Role Overview:** As a Power BI SQL professional with 5 to 9 years of experience, your main responsibility will be to develop and maintain business intelligence solutions using Power BI and SQL. You will work closely with stakeholders to understand their data and reporting requirements, and then design and implement effective visualizations and reports to meet those needs. **Key Responsibilities:** - Develop and maintain Power BI reports and dashboards to provide insights and analysis to stakeholders. - Create SQL queries and stored procedures to extract and manipulate data for reporting purposes. - Collaborate with business users to gather requirements and ensure that the BI solutions meet their needs. - Optimize and fine-tune existing Power BI reports and SQL queries to improve performance. - Stay updated with the latest trends and best practices in Power BI and SQL to continuously enhance the BI solutions. **Qualifications Required:** - Bachelor's degree in Computer Science, Information Technology, or a related field. - Proficiency in Power BI and SQL with 5 to 9 years of hands-on experience. - Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. - Excellent communication and interpersonal skills to effectively interact with stakeholders and team members. **Additional Company Details:** Unfortunately, there are no additional details about the company provided in the job description. **Role Overview:** As a Power BI SQL professional with 5 to 9 years of experience, your main responsibility will be to develop and maintain business intelligence solutions using Power BI and SQL. You will work closely with stakeholders to understand their data and reporting requirements, and then design and implement effective visualizations and reports to meet those needs. **Key Responsibilities:** - Develop and maintain Power BI reports and dashboards to provide insights and analysis to stakeholders. - Create SQL queries and stored procedures to extract and manipulate data for reporting purposes. - Collaborate with business users to gather requirements and ensure that the BI solutions meet their needs. - Optimize and fine-tune existing Power BI reports and SQL queries to improve performance. - Stay updated with the latest trends and best practices in Power BI and SQL to continuously enhance the BI solutions. **Qualifications Required:** - Bachelor's degree in Computer Science, Information Technology, or a related field. - Proficiency in Power BI and SQL with 5 to 9 years of hands-on experience. - Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. - Excellent communication and interpersonal skills to effectively interact with stakeholders and team members. **Additional Company Details:** Unfortunately, there are no additional details about the company provided in the job description.

Role Overview: You will be working as a Senior Data Analyst, leveraging advanced statistical methods and descriptive analytical techniques to analyze complex datasets, generate insights, and solve business problems. Your responsibilities will include designing, developing, and deploying data transformation components, orchestration pipelines, and data visualization dashboards. Collaboration with stakeholders to ensure the data strategy aligns with business objectives will also be a key aspect of your role. Key Responsibilities: - Collect, clean, and analyze large datasets to generate insights and recommendations. - Perform data analysis and provide decision points based on the analysis. - Develop and implement data transformation components to solve business problems. - Maintain data transformation pipeline and resolve production issues within stipulated timeframes. - Work on data visualization dashboards and ensure their maintenance. - Create re-usable utilities for data processing and feature engineering. - Conduct hypothesis testing and statistical analyses to understand data trends. - Collaborate with Data Scientists/Data Analysts to perform technical reviews and provide technical support. - Communicate findings to non-technical stakeholders through reports and visualizations. - Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions. Qualifications Required: - Bachelor's or master's degree in quantitative fields such as Statistics, Computer Science, or Engineering. - Minimum 3 years of experience working with a product development company as a Senior Data Analyst. - Minimum 5 years of experience with data transformation pipeline and data visualization dashboards, having developed, deployed, and maintained at least 5 projects in production using Power BI or Qlik Sense. - Minimum 3 years of experience and proficiency in programming languages such as Python, Pyspark, and Java. - Strong hands-on experience in SQL or data manipulation/query language. - Experience working on production-grade/POC projects involving Statistical ML techniques. - Good communication and comprehension skills to explain data transformation pipelines to stakeholders in a non-technical manner. - Experience in code version tools like Git, GitHub, GitLab for at least 3 years. - Minimum 3 years of Cloud Infrastructure experience is a must. Company Details: Avantor is an equal opportunity employer dedicated to furthering life-changing science through the dedication of its global team of 14,000+ associates. The company emphasizes a diverse, equitable, and inclusive culture, offering learning experiences to support career growth and success. Apply today and dare to go further with Avantor to see how your contributions set science in motion to create a better world.,

The Data Analyst is responsible for collecting, processing, and performing statistical analyses on large datasets to help organizations make data-driven decisions. The role involves identifying trends, developing dashboards, and presenting insights that support business objectives and improve operational efficiency.  Key Responsibilities: Collect, clean, and analyze data from multiple sources. Develop dashboards, reports, and data visualizations using tools like Power BI, Tableau, or Excel. Interpret data trends and provide actionable insights to management. Work closely with business and technical teams to understand data requirements. Use statistical methods to analyze data and generate useful business reports. Automate data collection and reporting processes. Ensure data accuracy, consistency, and security across systems. Present findings and recommendations to stakeholders in a clear and concise manner.

As a Power BI Analyst at our company, your role will be crucial in leading the migration of dashboards and reports from QlikView/Qlik Sense to Power BI. You will be responsible for ensuring consistency in data logic, design, and user experience. In addition, you will design, build, and optimize scalable, interactive Power BI dashboards to support key business decisions. Your expertise in writing complex SQL queries for data extraction, transformation, and validation will be essential. Collaborating with business users, analysts, and data engineers to gather requirements and deliver analytics solutions will also be part of your responsibilities. Leveraging data modeling and DAX to build robust and reusable datasets in Power BI is another key aspect of your role. Performing data validation and QA to ensure accuracy during and post-migration is crucial. You will also work closely with Snowflake-based datasets or assist in transitioning data sources to Snowflake where applicable. Your ability to translate healthcare data metrics into actionable insights and visualizations will be highly valuable. **Key Responsibilities:** - Lead the migration of dashboards and reports from QlikView/Qlik Sense to Power BI, ensuring consistency in data logic, design, and user experience. - Design, build, and optimize scalable, interactive Power BI dashboards to support key business decisions. - Write complex SQL queries for data extraction, transformation, and validation. - Collaborate with business users, analysts, and data engineers to gather requirements and deliver analytics solutions. - Leverage data modeling and DAX to build robust and reusable datasets in Power BI. - Perform data validation and QA to ensure accuracy during and post-migration. - Work closely with Snowflake-based datasets or assist in transitioning data sources to Snowflake where applicable. - Translate healthcare data metrics into actionable insights and visualizations. **Qualifications Required:** - 4+ years of experience in Business Intelligence or Data Analytics roles. - Strong expertise in Power BI including DAX, Power Query, custom visuals, row-level security. - Hands-on experience with QlikView or Qlik Sense, especially in migration scenarios. - Advanced proficiency in SQL - complex joins, performance tuning, and stored procedures. - Exposure to Snowflake or similar cloud data platforms (e.g., Redshift, BigQuery). - Experience working with healthcare datasets (claims, clinical, EMR/EHR data, etc.) is a strong advantage. - Strong analytical and problem-solving mindset. - Effective communication and stakeholder management skills.,

As an AI Engineer with 1-2 years of experience, your role involves designing, developing, and deploying AI-driven solutions. You should have hands-on expertise in machine learning, deep learning, and data science, along with strong programming skills in Python and familiarity with AI frameworks. Responsibilities: - Design, develop, and optimize machine learning models for real-world applications. - Work with large datasets to preprocess, clean, and analyze data. - Implement AI algorithms for applications in NLP, computer vision, or recommendation systems. - Deploy and monitor AI models in production environments. - Optimize model performance through hyperparameter tuning and feature engineering. - Collaborate with data scientists, software engineers, and business teams to integrate AI solutions. - Stay updated with the latest AI trends, tools, and research to improve existing models. Required Skills & Qualifications: - 1-2 years of experience in AI, machine learning, or data science. - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields. - Strong proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn. - Hands-on experience in model training, evaluation, and deployment. - Experience working with SQL/NoSQL databases and cloud platforms like AWS, GCP, or Azure. - Familiarity with MLOps, Docker, Kubernetes, and APIs is a plus. - Strong analytical, problem-solving, and debugging skills. - Good communication and collaboration abilities. Preferred Qualifications: - Experience with computer vision, NLP, or reinforcement learning. - Understanding of big data technologies (Hadoop, Spark, etc.). - Exposure to automated ML pipelines and model versioning. Please note that this is a full-time position with the benefit of Provident Fund. The work location is in person with a day shift schedule.,

Role Overview: You will be joining our dynamic team as a highly skilled Senior Data Analyst with 8-10 years of experience. Your main responsibility will be to utilize your expertise in data analysis, visualization, and business intelligence to support data-driven decision-making across the organization. By transforming data into actionable insights, you will drive business strategies and improve operational efficiency. Key Responsibilities: - Collect, clean, integrate, and manage data from multiple sources to build a comprehensive data landscape. - Ensure data accuracy, validation, and reliability through rigorous quality checks. - Conduct exploratory and in-depth data analysis to identify trends, patterns, and anomalies. - Provide solutions to specific business challenges by using statistical techniques and advanced data analysis. - Design, develop, and maintain interactive dashboards and reports using Power BI, making data accessible and actionable. - Customize reports based on business needs and ensure that visualizations are user-friendly and insightful. - Interpret data findings to generate actionable insights and recommendations that align with business objectives. - Communicate findings clearly to both technical and non-technical stakeholders. - Collaborate with cross-functional teams to meet data needs and drive business growth. - Serve as a data expert, guiding teams on best practices for data analysis and reporting. - Document data sources, transformations, and reporting processes. - Implement data quality checks and address data integrity issues by collaborating with relevant teams. - Mentor junior analysts and provide guidance on analytical tools, techniques, and best practices. - Lead cross-functional projects that require advanced analytical expertise. Qualification Required: - Education: Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - Experience: 8-10 years of experience in data analysis, business intelligence, or a related field. - Proven experience with data visualization tools (Power BI, Tableau) and data querying languages (SQL, Python). - Strong proficiency in Power BI, including DAX and Power Query for creating interactive dashboards. - Experience in building reports in Business Objects (SAP BO). - Advanced knowledge of SQL for querying and managing large datasets. - Experience with Python for data manipulation and advanced analytics. - Knowledge of ETL processes and tools for data integration and transformation. - Experience in Tableau reporting is an advantage. - Familiarity with cloud platforms like Azure and experience with data warehouses and data lakes. - Soft Skills: Excellent analytical and problem-solving skills, strong communication and presentation skills, ability to work independently, manage multiple projects, and collaborate across teams. Additional Details: This role provides an opportunity to influence key business decisions through advanced data analysis, reporting, and a collaborative approach. Join us in driving impactful changes and supporting the growth of our data-driven initiatives.,