Website Wynisco
Data Analyst — Wynisco Inc.
Company: Wynisco Inc.
Role Title: Data Analyst
Location: Pune City, Maharashtra, India
Company Type: B2B Product Startup (Pre-seed Funding Stage)
Industry: Information Technology
Employment Type: Full-Time
Experience Level: 2 to 5 Years of professional experience in data analysis, pipeline management, and business intelligence
Educational Requirement: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
Core Tool Stack: Python (Pandas, NumPy), SQL (Advanced Querying & Optimization), ETL/ELT Pipelines, BI Tools (Power BI, Tableau, or Looker Studio)
Preferred Stack: Airflow, dbt, Cloud Data Services, AI/LLM-assisted workflows, A/B Testing
About Wynisco Inc.
Wynisco Inc. is an emerging B2B product technology startup operating in the IT and software domain. Driven by a data-first culture, Wynisco focuses on delivering scalable enterprise tools and digital platforms. As a high-growth startup, Wynisco leverages automated data engineering, predictive modeling, and business intelligence to drive product strategy, track operational KPIs, and accelerate customer adoption.
Role Overview
Wynisco is recruiting a versatile and hands-on Data Analyst for its technology center in Pune City.
In this cross-functional startup role, you will be responsible for gathering, processing, and analysing multi-source enterprise data, building automated ETL/ELT data pipelines, defining operational KPIs, and creating executive dashboards. You will write high-performance SQL queries, build Python data pipelines, and apply practical AI/ML techniques (such as forecasting, segmentation, and regression) alongside modern LLM productivity tools to power data-driven decision-making across the business.
Key Responsibilities
Data Ingestion & Pipeline Engineering
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Multi-Source Ingestion: Gather data from diverse sources including relational databases, external APIs,and spreadsheets while maintaining data completeness and quality standards.
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ETL/ELT Pipelines: Build, automate, and maintain robust data pipelines (ETL/ELT) to streamline data extraction, transformation, and loading into analytics repositories.
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Data Cleansing: Transform and clean raw datasets using Python (Pandas, NumPy) and SQL to ensure high data integrity.
Exploratory Analytics & BI Visualization
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Dashboard Engineering: Build, automate, and maintain interactive visualization dashboards and reports using Power BI, Tableau, or Looker Studio.
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Statistical Modeling: Perform exploratory data analysis (EDA), trend detection, and pattern recognition to convert business queries into analytical solutions.
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KPI & Anomaly Tracking: Define, monitor, and report core business KPIs, proactively flagging data anomalies and commercial opportunities to leadership.
AI/ML Application & Documentation
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AI/ML Integration: Apply foundational ML techniques (forecasting, classification, regression, customer segmentation) and leverage generative AI/LLM workflows to enhance analytics efficiency.
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Data Governance & Storytelling: Document data definitions, ETL pipeline logic, and reporting methodologies while presenting clear analytical narratives to stakeholders.
Candidate Qualifications & Requirements
Required Qualifications & Skills
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Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
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Experience: 2 to 5 years of hands-on professional experience in data analytics, reporting, or data engineering.
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Technical Mastery:
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Strong proficiency in Python (specifically Pandas and NumPy) for data manipulation.
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Solid command of SQL for writing and optimizing complex database queries.
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Practical experience building or maintaining ETL/ELT pipelines.
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Hands-on expertise with at least one major BI/visualization platform (Power BI, Tableau, or Looker Studio).
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Statistical Knowledge: Solid understanding of descriptive statistics, data modeling concepts, and analytical problem-solving techniques.
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Productivity Tools: Basic knowledge of AI/ML concepts and familiarity with AI-assisted coding and analytics tools (e.g., ChatGPT/LLM workflows).
Preferred Qualifications
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Exposure to modern data stack tools such as Airflow, dbt, or cloud data services (AWS/GCP/Snowflake).
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Familiarity with A/B testing concepts and statistical experimentation frameworks.
Role Summary
| Attribute | Details |
| Job Title | Data Analyst |
| Company | Wynisco Inc. |
| Location | Pune City, Maharashtra, India |
| Business Model | B2B Product Startup |
| Experience | 2–5 Years |
| Primary Skill Stack | Python (Pandas/NumPy), SQL, ETL/ELT Pipelines, Power BI / Tableau / Looker Studio |
| Secondary Stack | Airflow, dbt, Cloud Data Services, AI/LLM Workflows, A/B Testing |
| Core Impact | Automated Data Pipelines, Product Analytics, Executive Dashboarding, KPI Tracking |
