3,793 data analytics consultant jobs in India.

... (Engineering, Economics, Stats, Math, etc.). Strong SQL skills - should be comfortable writing complex queries (joins, window functions, CTEs) on large transactional datasets. Ability to independently pull, clean, and structure data without heavy hand-holding. Comfortable working with payment/transaction data (. (success rates, ...

Data Analyst (DA) About the Role: As a Data Analyst at NxtWave, you will play a central role in transforming complex datasets into actionable insights, enabling business teams to make data-driven decisions. You'll own end-to-end analytics processes—from data extraction and modeling to visualization—while aligning closely ...

? We're Hiring | Data Engineer we are looking for skilled Data Engineers to join its growing team and work on modern cloud data platforms, data engineering, and analytics solutions. - Location: Kondapur, Hyderabad (5 Days Work from Office) - Employment Type: Full-Time - ? Experience: 3–5 Years - CTC: Up to ₹15 LPA Requirements ...

... 7+ years of experience as a NLP and Python developer. · Experience with Pandas, NumPy, Scikit, NLP a must have - Key fundamentals in object-oriented design, data structures and systems. - Ability to integrate multiple data sources into a single system. - Familiarity with testing tools. - Ability to collaborate on projects ...

... WFO)Shift: General ShiftJob Description:We are looking for a Data Engineer with 4-6 years of experience in building and managing scalable data pipelines and modern data platforms. The ideal candidate should also have exposure to AI-powered tools and automation, with the ability to leverage AI to improve data engineering processes ...

Job Title: Data Engineer - AWS MSK Specialist Job Summary: We're looking for a skilled Data Engineer with expertise in AWS Managed Streaming for Apache Kafka (MSK) to design, build, and maintain high-performance data pipelines. You'll work closely with data architects and software engineers to ensure seamless data integration ...

... and optimizations within the data platform architecture. Must To Have Skills: Proficiency in Data Engineering, Python (Programming Language), Data Wrangling, Data Mining. Experience with Python (Programming Language), Data Wrangling, Data Mining. Strong understanding of data integration techniques and data modeling concepts. ...

... generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Microsoft Azure Databricks, Microsoft Azure Analytics Services, ...

... development and upkeep of internal data privacy policies, SOPs, notices, and guidelines. Review third-party contracts with a focus on Information Security and Data Privacy clauses to ensure adequate safeguards in collaboration with the legal team. Review and recommend data sharing and data access requests in line with business ...

... never seen before customer-first experiences. We are seeking a Principal Data Scientist / Manager to lead a high-impact team of 3 to 4 Data Scientists within the Data Science & Analytics (DSA) team. This is an individual contributor and managerial role combined, that blends with the deep technical expertise of Data Science, ...

... achieve consensus on the best data and reports Bachelor's degree or higher in Data Analytics, Supply Chain Management, Information Systems, Engineering, Business Analytics, or a related field - 3+ years of experience in business intelligence, reporting, data analytics, or supply chain planning environments - Advanced proficiency ...

Sr. Data Engineer (6-9 yrs) Responsibilities : Data masking: implement PII masking pipeline Builds & maintain synthetic data generator CI/CD pipeline integration with auto-seed data Validates generated data against the ground truth – referential integrity, volume accuracy, etc. data validation characteristics. Technical ...

... solutions. Perform GAP analysis between existing data models and business needs. Design and model efficient Power BI schemas and architecture. Transform and prepare data using Power BI, SQL, and ETL tools. Develop complex DAX formulas, measures, and calculated columns for analytics. Create visually appealing and functional Power ...

... or a related quantitative field. Master's degree preferred (e.g., Data Analytics, Business Analytics, Applied Statistics, Economics, AI, or MBA with strong analytics focus). Continuous learning mindset expected, with demonstrated upskilling in advanced analytics, AI, or data engineering concepts (formal or informal). Note: ...

... and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data ...

... Scientist Talent Network Type: Contract Compensation: $100–$150/hour Location: Remote Role Responsibilities Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning pipelines , and A/B test write-ups . Evaluate AI-generated ...

... scalability, and alignment with global standards Translate finance questions into structured data requirements for the Power BI team Data Definitions & Governance Own data definitions, KPI definitions, field mappings, and calculation logic Ensure consistent KPI definitions across countries, regions, and business units Data Modelling ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Data Engineering Minimum 12 ...

... in data management. AUTOMATED REPORTING SYSTEMS: Builds automated reporting systems that provide timely insights and facilitate data driven decision making. DATA MODELING: Provides thought leadership on data modeling and preparation of data in databases for use in various analytics tools and to develop data pipelines to ...

Data Owners are needed to drive data excellence through strategic ownership and technical innovation. As a Data Owner Senior Associate within Consumer & Community Banking - Data & Analytics team, you will be responsible for end-to-end enablement, publishing, and governance for all data created. You help define and document ...