Create, modify, and troubleshoot SSIS packages, Stored Procedures, SQL Queries, Automation Processes and SQL Jobs with an eye on performance. Convert, manipulate and prepare large volumes of data for ingestion into the systems using SQL Server integration tools. Create, modify and troubleshoot reporting queries in SQL Server 2019 Maintain and support data ingestion tools and automation scripts. Manage and resolve data related issues that are reported by customers and internal and external Conduct quality and business logic checks on all data into and out of systems Maintain high customer satisfaction with customer service, technical and consultative skills, and acquired knowledge of the work product. Requirements 3+ years database and application development experience Proven SQL Language Experience with highly performing SQL Experience developing and troubleshooting SSIS packages Experience developing reports and dashboards using tools like Sisense, SSRS Experience with MS SQL Server Knowledge of Data Modeling concepts Experience with one or more scripting languages (e.g., Python, PowerShell, etc.) Benefits Competitive salary and performance-based bonuses Comprehensive insurance plans Collaborative and supportive work environment Chance to learn and grow with a talented team A positive and fun work environment. Show more Show less
Conduct product assortment analysis, identify trends and patterns in category performance, and support new product launches. Utilize data and visualization techniques to provide actionable insights for store teams, territory, and district managers. Design and test campaign effectiveness, analyze cross-sell and up-sell opportunities, and perform Market Basket Analysis. Analyze loyalty and customer data to design direct marketing campaigns and measure their effectiveness. Translate complex data insights into understandable and actionable information for non-technical and business teams. Requirements Proven experience as a Data Scientist or similar role. Strong knowledge of data analysis, statistics, and machine learning. Proficiency in data science tools and programming languages such as Python, SQL,Good in ML as well as Business understanding etc. Prior experience in CRM, Loyalty, Customer or Retail/CPG Analytics Familiarity with: Supervised and unsupervised learning techniques Deep learning and reinforcement learning Evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer Analytics Expertise in visualization tools such as Power BI, Spot fire, or similar. Excellent storytelling skills to explain complex data to non-technical/business teams Experience in analytics, preferably within Retail, CPG, or E-commerce domains. Excellent communication and collaboration skills with the ability to work effectively in a team environment. Benefits Competitive salary and performance-based bonuses. Comprehensive insurance plans. Collaborative and supportive work environment. Chance to learn and grow with a talented team. A positive and fun work environment.
Job Description: Role: Senior Data Analyst Location: Bangalore Experience: 5+ years Preferred: Immediate/30 Days' Notice Key Responsibilities: Collaborate with stakeholders across business functions to understand data needs and deliver impactful insights. Extract, clean, and analyze data from multiple sources using SQL, Python/R, or other analytics tools. Develop dashboards, reports, and visualizations to track key performance metrics and trends. Perform advanced statistical analyses including segmentation, regression, cohort analysis, and A/B testing. Lead efforts to improve data quality and ensure consistency across datasets. Communicate analytical findings clearly to technical and non-technical audiences through presentations and reports. Mentor junior analysts and promote best practices in data analysis and storytelling. Support data-driven decision making by identifying opportunities for process improvements and optimization. Required Skills & Qualifications: Bachelor’s or master’s degree. Minimum 6+ years of relevant experience in data analytics, business intelligence, or related roles. Mandatory - Strong proficiency in SQL for querying large databases . Mandatory - Experience with data visualization tools such as Tableau or Power BI Mandatory - Proficiency in programming languages such as Python or R for data manipulation and statistical analysis. Solid understanding of statistical methods and experimentation techniques (A/B testing, hypothesis testing). Excellent communication skills, with the ability to translate complex data insights into actionable business recommendations. Experience working with cloud data platforms (AWS, GCP, Azure) is a plus. Ability to work independently as well as collaboratively in cross-functional teams. Preferred Qualifications: Experience in customer analytics, product analytics, or marketing analytics. Knowledge of data engineering principles and ETL processes. Familiarity with Agile methodologies and project management tools.
As a skilled SQL Data Analyst, you will be responsible for designing and implementing advanced SQL queries to extract, transform, and load data from relational databases. Your expertise in utilizing SQL queries, Views, and Procedures will ensure the accuracy and integrity of large datasets. By conducting in-depth analyses, you will uncover trends, patterns, and insights that drive business strategies and operational improvements. Working closely with stakeholders, you will define data requirements, establish key performance indicators (KPIs), and develop reporting solutions to support informed decision-making. Your role will also involve maintaining comprehensive documentation of data sources, analytical methodologies, and reporting processes. In addition to your analytical responsibilities, you will play a key role in mentoring junior analysts and fostering a culture of data literacy within the organization. Staying up-to-date with industry best practices and emerging trends in data analytics and SQL technologies will be essential to your success in this role. To excel in this position, you should possess strong communication and stakeholder management skills. Experience in managing end-to-end data analysis processes, gathering requirements from cross-functional teams, and documenting them will be highly valued. A good understanding of business functions, particularly in the credit or financial domain, along with problem-solving abilities is preferred. Your proficiency in SQL and T-SQL will be crucial for querying and analyzing data effectively. Familiarity with SQL Server structures, business logic, and connecting SQL Server data to tools like Power BI and Tableau is essential. Troubleshooting SQL queries and procedures, database performance optimization, and handling data load issues with large volumes of data are key aspects of this role. Experience in BI reporting and dashboarding using Power BI, as well as data engineering from the back-end side using SQL server, will be beneficial. This role offers a competitive salary, performance-based bonuses, comprehensive insurance plans, a collaborative work environment, opportunities for learning and growth, and a positive, fun workplace culture.,