Shiladatya Mohanta -

Business Analyst

India7 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proven expertise in building scalable data systems.
Strong background in data-driven decision-making.
Experienced in leading cross-functional analytics teams.

Stackforce AI infers this person is a SaaS analytics leader with a focus on data engineering and business intelligence.

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Skills

Core Skills

Data EngineeringBusiness Intelligence (bi)Data AnalysisData VisualizationArtificial Intelligence (ai)

Other Skills

Data StrategyStakeholder ManagementDecision-Making InsightsSQLData ModelsData PipelinesTableauKPI StandardizationRoot-Cause AnalysisExperimentationData StorytellingAI WorkflowsNatural Language QueryingAI AgentsNatural Language Processing (NLP)

About

I’m an Analytics Leader focused on scaling data systems, BI, and teams to enable high-quality, data-driven decision-making. Experienced in SQL, Python, and BI tools (Tableau), I lead the development of data pipelines, data models, and dashboards that drive business outcomes. I partner with stakeholders to define metrics, solve ambiguous problems, and operationalize insights, with a strong emphasis on scalability, governance, and impact.

Experience

7 yrs 7 mos

Total Experience

7 yrs 4 mos

Average Tenure

3 mos

Current Experience

Brandtech plus

Lead Data Analyst

Mar 2026 – Present · 3 mos

Analytics Engineering | Data Pipelines| Data Strategy | Stakeholder Management | Decision-Making Insights

Data EngineeringData StrategyStakeholder ManagementDecision-Making InsightsBusiness Intelligence (BI)

Uber

Business Intelligence Analyst

Oct 2018 – Feb 2026 · 7 yrs 4 mos

~ Owned end-to-end analytics, converting ambiguous problems into scalable, data-driven solutions.
~ Defined and standardized KPIs to enable consistent, org-wide performance tracking.
~ Performed root-cause analysis to uncover insights driving strategic decisions.
~ Measured impact via experimentation and pre/post analysis frameworks.
~ Built scalable data models and pipelines using SQL and modern data warehousing.
~ Developed executive dashboards (Tableau) for real-time business insights.
~ Partnered with Product, Ops, and Engineering to deliver actionable analytics.
~ Influenced strategy through data storytelling and insight-driven recommendations.
~ Collaborated across global teams in fast-paced, high-growth environments.
~ Developed Agentic AI workflows using LLMs for automated insights, reporting, and decision support.
~ Built AI-powered analytics copilots integrating SQL, dashboards, and natural language querying.
~ Applied prompt engineering and orchestration frameworks to productionize AI-driven analytics solutions.

SQLData ModelsData PipelinesTableauKPI StandardizationRoot-Cause Analysis+6

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