About Saarthee:
Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. We are a onestop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India
Position Summary:
We are seeking a highly analytical and versatile Senior Data & BI Analyst who will operate as a "full-stack" analyst taking full ownership of the data pipeline from backend querying and ETL processes, to deep-dive business analysis, and finally, developing executive ready dashboards in Tableau, Power BI, SAP SAC, Looker etc. Additionally, this role requires a forward-thinking approach, utilizing GenAI and LLM tools to rapidly prototype data solutions before moving them to production.
Your Role Responsibilities and Duties:
End-to-End Dashboarding & Visualization (Primary)
Design, build, enhance and run & maintain complex, interactive, and highly optimized dashboards in Tableau, Power BI, SAP SAC, Looker, etc.
Translate business requirements into compelling visual narratives that drive executive decision-making
Develop intuitive, interactive dashboards focused on visually appealing data storytelling to guide stakeholders from high-level trends down to actionable root causes
Drill down capability for all reports and dashboard should be in-built – e.g. one can start with India and then create a regional or multi region cohort of our viewers for a program or for a genre
Build, Maintain, Enhance device agnostic Desktop, Tablet and Mobile friendly dashboards
Manage the administration, access control, and performance tuning of existing dashboards to ensure zero downtime and optimal load speeds.
Backend Querying & Data Engineering (ETL)
Write advanced, highly optimized SQL queries to extract, transform, and load (ETL) data from various databases and data warehouses.
Build and maintain robust data models that seamlessly connect backend architecture to front-end BI tools.
Troubleshoot data discrepancies, optimize query performance, and ensure data integrity across all reporting layers.
Deep-Dive Analysis & Business Intelligence (Primary)
Go beyond simply reporting numbers to actively uncover trends, anomalies, and actionable business insights.
Conduct ad-hoc deep-dive analyses to answer complex business questions, acting as a strategic partner to internal stakeholders.
Present findings clearly to non-technical business leaders, bridging the gap between raw data and business strategy.
GenAI Prototyping & Innovation (Primary)
Leverage GenAI and Large Language Models (LLMs) to quickly build Proof of Concepts (POCs) for new dashboards, metrics, and analytical frameworks.
Translate successful GenAI-driven mockups and insights into fully functional, scalable production dashboards in Tableau/Power BI/SAP SAC/Looker etc.
Deploy the use of AI tools to faster pipeline development, data lineage, creation of semantic layer and any data cleaning, as needed
Stay updated on the latest AI-driven analytics trends to continuously improve the team's efficiency and output quality.
Required Skills and Qualifications:
Core Technical Skills
Strong hands-on experience in Data Analytics, Business Intelligence, or Data Engineering roles
Expert-level proficiency in Tableau and/or Power BI
Strong command of SQL with experience optimizing complex queries
Experience with cloud data platforms such as Snowflake, AWS Redshift, or Google BigQuery
Proficiency in Python for data manipulation, automation, and ETL development
Experience building and maintaining ETL pipelines and reporting workflows
Familiarity with distributed data systems and modern analytics architectures
BI & Visualization Skills
Advanced experience with Tableau calculations, LODs, DAX, parameter actions, and data blending
Strong understanding of dashboard performance optimization and user experience design
Ability to create polished, executive-level dashboards with strong design aesthetics
Experience building scalable reporting frameworks for leadership teams
AI / GenAI Exposure
Hands-on experience using AI tools such as ChatGPT, Gemini, Claude, or Copilot
Understanding of AI-assisted analytics workflows and dashboard prototyping
Exposure to semantic layers, AI-driven data discovery, or intelligent reporting frameworks is a plus
