Company Description
Decision Point develops analytics and big data solutions for CPG, Retail, and Consumer-focused industries, working with global Fortune 500 clients. We provide analytical insights and solutions that help develop sales and marketing strategies in the Retail and CPG Industry by leveraging diverse sources of data, including Point of Sale data, Syndicated category data, Primary shipments, and other similar sources. Founded by Ravi Shankar and his classmates from IIT Madras, our team comprises data scientists, business consultants, and tech-savvy engineers passionate about extracting maximum value from data for our clients.
Role Description
The incumbent will serve as a Senior/Lead BI Developer, dedicated to transforming data assets into actionable insights primarily using the ThoughtSpot platform. This role involves both front-end visualization excellence and robust back-end data preparation.
Key Expectations Include:
- ThoughtSpot Mastery & Deliverables:
- Lead the design, development, and implementation of high-impact ThoughtSpot Liveboards, Answers, and SpotIQ analysis.
- Perform data modelling and schema design specifically for ThoughtSpot, ensuring optimal performance for self-service analytics.
- Implement and manage Row-Level Security (RLS) and user permissions at the worksheet/data level within the platform to maintain data governance.
- Data Prep, ETL, & Querying:
- Write, optimize, and execute complex SQL queries for data manipulation, validation, and extraction from data sources like Snowflake and AWS Redshift.
- Design and implement ETL/data preparation processes using tools like Alteryx, DBT, or Python scripts to cleanse and structure raw datasets for BI readiness.
- Integrate data from multiple sources (e.g., SQL, cloud platforms, SharePoint) and ensure data accuracy, consistency, and compliance.
- Consulting & Stakeholder Engagement:
- Engage directly with clients and business stakeholders to gather detailed requirements and translate complex business logic into effective BI solutions.
Requirements:
- Primary BI Focus: Mandatory expertise in ThoughtSpot (Liveboards, Worksheets, SpotIQ, Formulas, Connections).
- Database & Querying: Strong proficiency in Advanced SQL (T-SQL, PL SQL, DDL/DML, stored procedures).
- Data Prep/ETL: Practical experience with ETL/Data Transformation tools and concepts such as Alteryx, DBT, and/or Python scripting for data automation.
- Data Warehousing: Working knowledge of modern data warehouses (e.g., Snowflake, AWS Redshift).
- Secondary BI Tools: Proficiency in either Power BI (DAX, Power Query) or Tableau (LODs, Calculations).
- Cloud Platforms: Experience with relevant cloud services (e.g., AWS S3, Lambda, Databricks) is an advantage
- Bachelor's degree in a technical or quantitative field.
- Relevant professional certifications (e.g., Certified ThoughtSpot Professional, Microsoft Data Analyst Associate (PL-300)) is a strong advantage
