2,227 Data Analysis Jobs in Gurgaon

Job Description Data Scientist Role: Data Scientist Experience: 3-4 years Location: Gurgaon (Hybrid) Role Overview We are seeking a Data Scientist with 34 years of experience in AI/ML and Deep Learning. The role involves building and deploying models for prediction, anomaly detection, NLP, and industrial analytics (predictive maintenance). You will work with cross-functional teams to design scalable pipelines and deliver data-driven solutions that create measurable business impact.  Key Responsibilities: Develop and deploy AI/ML and Deep Learning models for regression, classification, clustering, anomaly detection, and forecasting. Apply Neural Networks, CNNs, RNNs, LSTMs, Transformers, and Autoencoders for solving business problems. Work on NLP techniques (BERT, GPT-based models, text similarity, embeddings, topic modeling). Build predictive analytics and optimization pipelines for industrial/manufacturing domains (predictive maintenance). Perform exploratory data analysis (EDA), feature engineering, and statistical validation. Required Skills Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Keras). 3-4 years of hands-on experience in AI/ML model development. Expertise in Deep Learning architectures (CNN, RNN, LSTM, Transformer-based models). Solid background in statistical analysis, hypothesis testing, and probability models. Strong knowledge of SQL/Databases (PostgreSQL, InfluxDB) for data extraction and processing. Candidate can be apply from Delhi/NCR  Regard, Ruchi Maurya Talent Acquisition Team 9971720679

Data Engineer Azure Data Factory, SQL, Python, Databricks, ETL  Data Engineer .Net + Azure Data Factory  We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining data systems and architectures that support our business needs. This role requires expertise in working with large datasets, cloud technologies, and advanced data platforms to ensure the availability, quality, and accessibility of data for business analytics and decision-making. Key Responsibilities: Design, build, and maintain data pipelines to collect, process, and store data efficiently from various sources. Work with cross-functional teams to understand business requirements and deliver data solutions that meet the needs of the organization. Optimize data storage and retrieval methods to enhance system performance and data quality. Integrate data from multiple sources (databases, data lakes, cloud storage, etc.) to build comprehensive data sets. Build and maintain data infrastructure, ensuring it is scalable, reliable, and secure. Implement and manage data governance policies, ensuring data accuracy, consistency, and compliance. Conduct data modeling and provide insights into the data through advanced analytics tools and reports. Perform data transformations and data wrangling tasks to prepare data for analysis. Troubleshoot data issues and collaborate with stakeholders to resolve technical challenges. Ensure the integrity of data pipelines and systems by conducting routine testing and validation. Required Skills and Qualifications: Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Proven experience as a Data Engineer or in a similar role, with a minimum of [X] years of experience. Proficiency in data engineering tools and technologies such as SQL, Python, Java, Scala, and ETL frameworks. Experience working with cloud platforms (AWS, Azure, GCP) and data storage solutions (e.g., Redshift, Snowflake, BigQuery). Solid understanding of data modeling, database design, and cloud data architectures. Hands-on experience with data warehousing concepts and tools (e.g., Apache Hive, Apache Spark). Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory. Knowledge of real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus. Strong problem-solving skills and ability to troubleshoot complex data issues. Familiarity with data security best practices and data privacy regulations (e.g., GDPR, HIPAA).

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelors degree from an accredited university or college in computer science. Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into nontechnical, lay terms. High-level experience in methodologies and processes for managing large-scale databases. Demonstrated experience in handling large data sets and relational databases. Understanding of addressing and metadata standards. High-level written and verbal communication skills.

As a Data Analyst at the company, your responsibilities will include: - Collaborating with the team to analyze problems effectively - Writing functions/scripts to build datasets - Building and testing models - Writing informal reports for internal use - Working with developers and implementation engineers to spec out database models and determine the implementation of algorithms Qualifications required for this role: - 3-5 years of experience in the field - Experience in data analysis and methodologies - Experience in building time series and exposure to prediction modeling - Proficiency in R, Matlab, and Bayesian inference - Strong communication skills To apply for this position, kindly send your resume to careers@igloble.com.,

As a Data Analyst at Masthead Technologies, you will be an integral part of our dynamic team based in our Noida office. Your role will involve conducting day-to-day data analysis, collaborating with colleagues to develop data-driven solutions, and managing client reports across various platforms. You will also be responsible for analyzing real-time user feedback, handling production incidents, and producing reports and metrics for internal teams and clients. Additionally, you will collaborate with cross-functional teams to ensure smooth daily operations, demonstrating strong problem-solving abilities and the capacity to multitask under pressure. Key Responsibilities: - Conduct day-to-day data analysis, working closely with the team to develop and improve data-driven solutions. - Manage and assess client reports across various platforms, ensuring effective reproduction of data. - Collaborate with colleagues to brainstorm innovative strategies and implement creative solutions to complex problems. - Analyze real-time user feedback to continuously improve our products. - Handle production incidents and provide detailed reporting. - Produce daily reports, dashboards, and metrics for internal teams and clients. - Collaborate with cross-functional teams to ensure smooth daily operations. - Demonstrate strong problem-solving abilities and multitask under pressure. Qualifications Required: - Proficiency in MS Excel - Ability to perform data analysis effectively - Excellent problem-solving and multitasking skills If you are interested in joining our team, please share your CV at mastheadtechnologies.hr@gmail.com. This is a full-time, permanent position based in our Noida office. We look forward to welcoming you to the Masthead Technologies team!,

As a Senior Data Scientist, your role will involve driving data-driven decision-making and risk assessment by developing predictive models and machine learning solutions to solve complex business challenges. You will collaborate with cross-functional teams to integrate data science strategies into business processes. **Key Responsibilities:** - Proficiently analyze and manage large datasets, leveraging expertise in data science, data analysis, and data management, particularly within data laboratories or analytics environments. - Collaborate with internal and external stakeholders to design and implement data strategies that align with the organization's overarching goals and objectives. - Develop and implement predictive models and machine learning algorithms to address business challenges, providing actionable insights that drive strategic decision-making. - Work closely with domain experts and IT professionals to integrate data science solutions into existing systems and processes, ensuring seamless execution and optimization of business operations. **Qualifications Required:** - Bachelor's or Masters degree (or equivalent) in Economics, Statistics, Data Science, or a related field. - A minimum of 8 years of relevant experience, including at least 3 years as a Data Scientist or in a similar role focused on data analytics and modeling. - Certification in data science, machine learning, or related fields is required. At least one of the following certifications is mandatory: - Certified Analytics Professional (CAP) - AWS Certified Big Data Specialty - Google Professional Data Engineer You should also have strong experience with data visualization tools such as Matplotlib, Seaborn, Tableau, or similar platforms. Prior experience in statistical modeling, risk modeling, or working with large datasets to build complex models and provide actionable insights will be beneficial for this role.,

As a Senior Marketing Analyst at Monks, you will have the opportunity to work closely with cross-functional teams (media, finance, operations) to perform a variety of data analysis activities. You will partner with a large tech company to help them run their advertising campaigns and provide necessary analytics support. Your role will involve working on data analysis, generating insights, and streamlining reports to help the team understand project performance effectively. Additionally, you will be responsible for managing the data team backlog, analysing complex data sets, and providing analytical support to cross-functional teams. **Key Responsibilities:** - Build, enhance and streamline reports to aid in understanding project performance. - Manage the data team backlog and serve as project manager on various data team projects. - Analyse complex data sets to identify trends, issues, and gather insights. - Provide analytical support to cross-functional teams. - Maintain data products and create visualisation tools, dashboards, reports, and spreadsheets. - Build and maintain an understanding of data flows, sources, and transformations across multiple data platforms. - Identify data issues proactively and collaborate with stakeholders for solutions. - Assist in process improvements within the data team. **Qualifications Required:** - Bachelor's/ Master's degree in Data Science, Statistics, Economics, Quantitative Finance, or other analytics-related field. - Minimum 1 year of experience using SQL, strong proficiency in spreadsheet and data visualisation tools. Familiarity with programming languages such as Javascript, R, Python is a plus. - Expertise in creating spreadsheets of findings and presenting them coherently to stakeholders. - Strong time and project management skills with high attention to detail. - Ability to think strategically, execute effectively, and deliver high-quality work under tight deadlines. - Excellent problem-solving skills with the ability to analyse and resolve complex problems using data. - Excellent communication and interpersonal skills with demonstrated ability to engage with senior leaders. Monks, the global digital operating brand of S4Capital plc, is dedicated to accelerating business possibilities by combining global marketing and technology services. Monks values diversity and inclusivity in the workplace, creating an environment where all individuals can freely express themselves and grow professionally. By embracing fresh voices and unique perspectives, Monks aims to produce work that resonates with the world and drives innovation in the industry.,

As a Senior Data Analyst at DataFlow Group, you will play a crucial role in leveraging data to optimize operational efficiency, identify bottlenecks, enhance service delivery, and uncover actionable insights for operational excellence and client satisfaction. **Key Responsibilities:** - **Data Analysis & Insight Generation**: - Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies. - Translate raw data into clear, concise, and actionable insights addressing key business questions. - **Data Manipulation & Transformation**: - Expertly "slice and dice" data using advanced functions in Google Sheets or Microsoft Excel for analysis, model building, and report creation. - **Reporting & Visualization**: - Develop and maintain dashboards, reports, and presentations to effectively communicate analytical findings to stakeholders, including senior leadership. - **Problem Solving**: - Proactively identify business problems and opportunities, proposing data-driven solutions and strategies. - **Stakeholder Collaboration**: - Work closely with cross-functional teams to understand their data needs and provide support for decision-making. - **Data Quality & Governance**: - Contribute to ensuring data accuracy, consistency, and integrity across various data sets. **Qualifications Required:** - **Experience**: - Progressive experience in a data analytics role with a track record of delivering impactful data-driven insights. - **Mindset**: - Strong analytical and problem-solving skills with the ability to break down complex problems into manageable components. - **Data Manipulation Expertise**: - Hands-on proficiency in Google Sheets or Microsoft Excel, including advanced functions like pivot tables, VLOOKUP/XLOOKUP, conditional formatting, and charting. - **Slicing & Dicing**: - Ability to manipulate, transform, and analyze large volumes of data from various sources to uncover meaningful patterns. - **Skills**: - Excellent verbal and written communication skills to articulate complex analytical concepts clearly to non-technical audiences. - Meticulous attention to detail with a commitment to data accuracy and integrity. - Self-motivated, proactive, and able to work independently and collaboratively within a team environment. **Preferred Qualifications (Nice To Haves):** - Experience with SQL for data querying and extraction. - Experience with statistical analysis and modeling using tools like Python or R. Please note: This job description is provided by DataFlow Group, a global provider of specialized Primary Source Verification solutions and background screening services.,

Role Overview: You will be responsible for developing the logical data model based on the understanding of the conceptual model and conducting data profiling to deliver high-quality data models and data within the standards defined by the client and the industry. You will analyze requirements, create a clarification list if needed, define data requirements, and create conceptual models based on understanding of business processes. Additionally, you will map KPIs to the conceptual model, validate it with the client, and create a logical model capturing entities, tables, columns, etc. You will create tables, establish relationships between them, and ensure coverage by mapping conceptual to logical models. Furthermore, you will define entities, attributes, domain, and create a physical model based on project requirements. Seeking review inputs and validating the model alignment with technology suggested for the project will also be part of your responsibilities. Key Responsibilities: - Coordinate and communicate with business users to gather requirements - Possess excellent communication skills - Work experience in an Onsite-offshore model - Write complex DB queries in MS SQL Server, Azure Data Models, Power BI, and Azure Analytics Services - Develop conceptual, logical, and physical data models with a minimum of 5+ years of experience - Implement RDBMS, operational data store (ODS), data marts, and data lakes on target platforms - Understand normalization/denormalization concepts, metadata management, and data governance - Utilize strong data analysis and physical data modeling skills - Demonstrate expertise in data modeling, structuring, and working in high-volume data environments - Apply schema designs and knowledge of data warehousing ETL/ELT concepts Qualifications Required: - 10+ years of experience in writing complex DB queries in MS SQL Server, Azure Data Models, Power BI, and Azure Analytics Services - Minimum 5 years of experience in developing conceptual, logical, and physical data models - Experience in implementing RDBMS, operational data store (ODS), data marts, and data lakes on target platforms - Knowledge of normalization/denormalization concepts, metadata management, and data governance - Strong data analysis and physical data modeling experience - Proficiency in data modeling, structuring, schema designs, and data warehousing ETL/ELT concepts Please note: Experience of 5+ years is required for this role. The job location is Faridabad. Role Overview: You will be responsible for developing the logical data model based on the understanding of the conceptual model and conducting data profiling to deliver high-quality data models and data within the standards defined by the client and the industry. You will analyze requirements, create a clarification list if needed, define data requirements, and create conceptual models based on understanding of business processes. Additionally, you will map KPIs to the conceptual model, validate it with the client, and create a logical model capturing entities, tables, columns, etc. You will create tables, establish relationships between them, and ensure coverage by mapping conceptual to logical models. Furthermore, you will define entities, attributes, domain, and create a physical model based on project requirements. Seeking review inputs and validating the model alignment with technology suggested for the project will also be part of your responsibilities. Key Responsibilities: - Coordinate and communicate with business users to gather requirements - Possess excellent communication skills - Work experience in an Onsite-offshore model - Write complex DB queries in MS SQL Server, Azure Data Models, Power BI, and Azure Analytics Services - Develop conceptual, logical, and physical data models with a minimum of 5+ years of experience - Implement RDBMS, operational data store (ODS), data marts, and data lakes on target platforms - Understand normalization/denormalization concepts, metadata management, and data governance - Utilize strong data analysis and physical data modeling skills - Demonstrate expertise in data modeling, structuring, and working in high-volume data environments - Apply schema designs and knowledge of data warehousing ETL/ELT concepts Qualifications Required: - 10+ years of experience in writing complex DB queries in MS SQL Server, Azure Data Models, Power BI, and Azure Analytics Services - Minimum 5 years of experience in developing conceptual, logical, and physical data models - Experience in implementing RDBMS, operational data store (ODS), data marts, and data lakes on target platforms - Knowledge of normalization/denormalization concepts, metadata management, and data governance - Strong data analysis and physical data modeling experience - Proficiency in data modeling, structuring, schema designs, and data warehousing ETL/ELT concepts Please note: Experience of 5+ years is required for this role. The job location is Faridabad.

As a Business Intelligence Analyst at Decision Tree Analytics and Services, your role will involve designing and implementing business intelligence solutions and dashboards using SQL/Tableau to generate insights and provide decision support for enterprise clients. You will also be responsible for supporting data engineering using ETL tools and building enterprise data warehouses. Key Responsibilities: - Design and implement business intelligence solutions and dashboards using SQL/Tableau - Support data engineering using ETL tools and build enterprise data warehouses - Work with stakeholders to determine business requirements, priorities, define key performance indicators (KPI), and develop a BI and data warehouse (DW) strategy - Analyze large amounts of raw data and summarize into clear, accurate, meaningful, value-added reports and analysis - Identify new and emerging technologies and enhance existing processes related to analytics and business intelligence Qualifications Required: - Proven experience in designing and implementing business intelligence solutions using SQL/Tableau - Strong understanding of data engineering principles and experience with ETL tools - Ability to work with stakeholders to define business requirements and key performance indicators - Proficiency in analyzing large datasets and summarizing data into meaningful reports - Knowledge of new and emerging technologies in the field of analytics and business intelligence (Note: The above description is based on the provided job description. Any additional details about the company were not included in the JD.) As a Business Intelligence Analyst at Decision Tree Analytics and Services, your role will involve designing and implementing business intelligence solutions and dashboards using SQL/Tableau to generate insights and provide decision support for enterprise clients. You will also be responsible for supporting data engineering using ETL tools and building enterprise data warehouses. Key Responsibilities: - Design and implement business intelligence solutions and dashboards using SQL/Tableau - Support data engineering using ETL tools and build enterprise data warehouses - Work with stakeholders to determine business requirements, priorities, define key performance indicators (KPI), and develop a BI and data warehouse (DW) strategy - Analyze large amounts of raw data and summarize into clear, accurate, meaningful, value-added reports and analysis - Identify new and emerging technologies and enhance existing processes related to analytics and business intelligence Qualifications Required: - Proven experience in designing and implementing business intelligence solutions using SQL/Tableau - Strong understanding of data engineering principles and experience with ETL tools - Ability to work with stakeholders to define business requirements and key performance indicators - Proficiency in analyzing large datasets and summarizing data into meaningful reports - Knowledge of new and emerging technologies in the field of analytics and business intelligence (Note: The above description is based on the provided job description. Any additional details about the company were not included in the JD.)

We are seeking an experienced Data Manager to lead the development and utilization of data systems. In this role, you will be responsible for identifying efficient methods to organize, store, and analyze data while maintaining strict security and confidentiality measures. An exceptional Data Manager comprehends the intricacies of data management and possesses a deep understanding of databases and data analysis procedures. You should also possess strong technical acumen and exceptional troubleshooting abilities. Your primary objective will be to ensure the seamless and secure flow of information within and outside the organization, guaranteeing timely access and delivery of data. By implementing effective data management practices, you will contribute to the overall success of our organization. Join our team and be a key driver in optimizing our data systems, unlocking valuable insights, and supporting data-driven decision-making processes. Create and enforce policies for effective data managementFormulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of dataDevise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspectsEstablish rules and procedures for data sharing with upper management, external stakeholders etc.Support others in the daily use of data systems and ensure adherence to legal and company standardsAssist with reports and data extraction when neededMonitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.)Ensure digital databases and archives are protected from security breaches and data losses Proven experience as data managerExcellent understanding of data administration and management functions (collection, analysis, distribution etc.)Familiarity with modern database and information system technologiesProficient in MS Office (Excel, Access, Word etc.)An analytical mindset with problem-solving skillsExcellent communication and collaboration skillsBSc/BA in computer science or relevant field

A data scientists job is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions Key Responsibilities of a Data Scientist So, what are the responsibilities of a data scientist They include: Data Collection and Preparation: Bringing together information from different sources, cleaning it, and making sure its ready for analysis Exploratory Data Analysis: Examining large datasets, both structured and unstructured, to spot patterns, trends, and unusual findings Model Building and Evaluation: Creating machine learning models and algorithms, then testing them to ensure accuracy and effectiveness Predictive Modeling: Using statistical methods to build models that can forecast outcomes and support better planning Automation and AI Integration: Simplifying tasks and processes through programming and AI tools Data Visualization: Turning results into clear reports, dashboards, and visualizations that make insights easy to understand Communication and Collaboration: Working closely with different teams to make sure data-driven insights are put into action Continuous Learning: Keeping skills up to date by exploring new tools, technologies, and approaches in data science

You will be working as a Data Entry and Manual Testing Specialist at Gauge Data Solutions in Noida. Your primary responsibility will be to ensure accurate, well-organized, and accessible data while conducting manual testing on the website to identify bugs and maintain high-quality standards. **Key Responsibilities:** - **Data Entry:** - Accurately input, update, and maintain data in company databases and systems. - Review and verify data for accuracy and completeness. - Perform routine data cleaning and validation tasks to ensure data integrity. - Compile and organize data into reports, spreadsheets, or other formats as required. - Respond to data-related queries and provide data insights when necessary. - Manage and maintain digital and physical filing systems. - **Manual Testing:** - Execute manual test cases based on product specifications and requirements. - Work closely with the development team to understand software functionality and contribute to test planning. - Perform regression, functional, and exploratory testing of software applications. - Verify bug fixes and re-test the website to ensure issues are resolved. - Assist in the preparation of test environments, test data, and necessary documentation. **Qualifications:** - Bachelor's degree in any specialization, preferably in a related field. - Proven experience in data entry with strong attention to detail and accuracy. - Familiarity with data entry software (e.g., Microsoft Excel, Google Sheets) and databases. - Understanding of manual testing concepts and methodologies. - Strong problem-solving skills with the ability to spot and report inconsistencies. - Ability to work independently and as part of a team. - Excellent communication skills, both written and verbal. - Basic knowledge of programming concepts or software testing is a plus. - Ability to handle repetitive tasks and work under tight deadlines. In addition to the above, prior experience in both data entry and manual testing roles, knowledge of SQL or basic database querying, and experience with test documentation and writing test cases are desirable skills. Please note that this is a full-time, permanent position suitable for freshers. The work location is in person.,

Role Overview: As an Information Analysis and Data Entry Executive, you will be responsible for analysing and extracting relevant information from various print and online sources. Your main task will involve feeding the extracted data into a data-storage system designed for this purpose. It is essential for you to have prior experience working with computers and possess a good typing speed to excel in this role. Key Responsibilities: - Analyse and extract information from print and online sources - Input the extracted data into the designated data-storage system - Work efficiently to maintain accuracy and meet deadlines Qualifications Required: - Fresh graduate from any field - Good command over written English - Strong IQ and analytical skills,

You will be responsible for providing a grade-specific overview of the skills and competencies required for the job. Key Responsibilities: - Assessing and identifying the specific skills and competencies needed for each grade level within the organization. - Developing and implementing strategies to enhance these skills and competencies across different grades. - Working closely with HR and management teams to ensure alignment of skills with organizational goals. - Providing guidance and support to employees in developing the necessary skills for their respective grades. Qualifications Required: - Bachelor's degree in a relevant field. - Proven experience in talent management or organizational development. - Strong analytical and communication skills. - Ability to effectively collaborate with cross-functional teams. - Experience in conducting skills gap analysis would be advantageous.,

Role Overview: As a Data-Driven Product Manager at Gigaforce, you will play a crucial role in leveraging data to inform product decisions and optimize business outcomes. You will be responsible for owning the product lifecycle, from ideation through launch, while working cross-functionally with engineering, design, sales, customer success, and leadership teams. In this agile environment, you'll work within structured sprints and leverage data-driven insights and user feedback to guide decision-making. You'll balance strategic vision with tactical execution to ensure Gigaforce continues to lead the industry in subrogation automation and claims optimization for the property and casualty insurance market. Key Responsibilities: - Define and execute a data-driven product strategy aligned with business goals. - Utilize data analytics to identify trends, customer behaviors, and opportunities for product improvements. - Collaborate with data scientists, engineers, and business teams to develop data-centric solutions. - Establish and track key performance indicators (KPIs) to measure product success. - Conduct A/B testing and experimentation to validate product hypotheses. - Ensure data governance, compliance, and ethical usage in product development. - Translate complex data insights into actionable product decisions. - Advocate for data literacy across the organization. Qualifications Required: - 3+ years of experience in data-driven product management, ideally in a SaaS or InsurTech environment. - Strong proficiency in data analysis tools (SQL, Python, Excel, etc.). - Experience with data visualization platforms (Tableau, Power BI). - Knowledge of machine learning concepts and predictive analytics. - Ability to interpret and communicate data insights to non-technical stakeholders. - Expertise in product management frameworks (Agile, Lean, Scrum). - Understanding of data infrastructure, pipelines, and governance.,

As an ideal candidate for this role, you will utilize your passion for big data and analytics to provide business insights covering a variety of topics. Your primary responsibilities will include conducting recurring and ad hoc analysis for business users. - **Data Analysis:** You will leverage advanced Excel functions to analyze large datasets, identify trends, and generate insights. - **Report Creation:** Your role will involve developing comprehensive reports and dashboards to effectively communicate findings and recommendations to stakeholders. - **Contract Analysis:** You will be responsible for reviewing and interpreting managed care contracts to ensure compliance and understanding of contractual obligations and financial implications. - **Collaboration:** Working closely with cross-functional teams, you will gather data requirements and provide analytical support for strategic initiatives. - **Continuous Improvement:** Identifying process enhancement opportunities and contributing to the development of best practices in data management and reporting will be key aspects of your role. In terms of qualifications, you should possess the following: - Proficiency in Microsoft Excel, including pivot tables, VLOOKUP, and advanced formulas. - Strong analytical skills with the ability to interpret complex data sets and present findings effectively. - Familiarity with managed care contracts and related terminology. - Excellent communication skills, both written and verbal. - Experience in report generation and data visualization tools would be considered a plus. Please note that there are no additional details about the company provided in the job description.,

Role Overview As a Data Analyst/Engineer at SCG in India, your main responsibility will be to transform raw data into valuable insights that will contribute to business growth, operational efficiency, and customer value. Key Responsibilities - Collect, clean, and analyze data from sales, supply chain, and operations. - Build dashboards and reports to facilitate decision-making processes. - Identify patterns, trends, and areas for improvement within the data. - Work closely with cross-functional teams to establish key performance indicators (KPIs) and metrics. - Support data governance and maintain appropriate documentation practices. Qualifications - Bachelors degree in Data Science, Statistics, Computer Science, or a related field. - 03 years of experience in analytics; however, fresh graduates are also encouraged to apply. - Proficiency in Excel and at least one analytics tool such as SQL, Python, Power BI, or Tableau. - Excellent problem-solving abilities and strong communication skills. If you join SCG in India as a Data Analyst/Engineer, you will have the opportunity to advance your career into roles such as data engineering, business analytics, and digital strategy within SCG's global network.,

Role Overview: As a Data Analyst at our company, you will play a crucial role in collecting, processing, and analyzing data from various online sources to support IEPF share recovery. Your expertise in Python programming, web scraping, and data analysis will be essential in providing actionable insights for business decision-making. Key Responsibilities: - **Data Scraping:** Utilize Python and web scraping techniques to extract data from financial, regulatory, and shareholding-related websites for IEPF share recovery. - **Data Cleaning & Preprocessing:** Clean, process, and structure raw data to ensure data quality and integrity for analysis purposes. - **Data Analysis & Visualization:** Analyze large datasets to derive insights on share recovery and investor shareholding trends, presenting findings through visualizations. - **Reporting:** Prepare detailed reports on share recovery patterns, trends, and forecasts based on analysis to assist in driving business decisions. - **Automation & Optimization:** Develop and maintain automated web scraping systems to update shareholding data regularly, optimizing the data pipeline for efficiency. - **Collaboration:** Work closely with business stakeholders to understand data requirements and deliver tailored reports or visualizations related to IEPF share recovery. Qualifications Required: - **Technical Skills:** - Strong proficiency in Python for data analysis and automation. - Expertise in web scraping using libraries such as BeautifulSoup, Selenium, and Scrapy. - Experience with data manipulation and analysis using Pandas, NumPy, and other relevant libraries. - Familiarity with SQL for data extraction and querying relational databases. - Knowledge of data visualization tools like Matplotlib, Seaborn, or Tableau for presenting insights. - **Experience:** - Minimum 2-3 years of experience as a Data Analyst focusing on Python programming and web scraping. - Experience with financial or investment data, particularly in IEPF, share recovery, or investor relations. - Strong problem-solving skills and ability to generate actionable insights from complex datasets. - **Additional Skills:** - Strong attention to detail and proficiency in working with large datasets. - Ability to work collaboratively in a team environment. - Familiarity with cloud platforms (e.g., AWS, Google Cloud) and data storage is advantageous. - **Education:** - Bachelors or Masters degree in Data Science, Computer Science, Statistics, Finance, or related field. - **Soft Skills:** - Strong communication skills to explain technical concepts to non-technical stakeholders. - Effective prioritization, organizational, and time management skills. (Note: Company details were not included in the provided job description.),

You will have the opportunity to lead and shape the technology landscape of a rapidly growing fintech division. You will work on cutting-edge digital lending solutions with industry-leading professionals. Additionally, competitive salary and benefits are offered for the right candidate.,