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SourcingXPress Linkedin · Posted 1mo ago

Data Analyst

India

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Indexed description

Company: Wynisco

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information Technology

Job Description

We're looking for a Data Analyst to collect, process, and analyze data, build reliable data pipelines, and uncover actionable insights that support data-driven decision-making across the organization.

Key Responsibilities

  • Gather data from multiple sources (databases, APIs, spreadsheets) and ensure its accuracy, consistency, and completeness.
  • Clean, transform, and prepare raw data for analysis using Python and SQL.
  • Build and maintain data pipelines (ETL/ELT) to automate data collection, transformation, and loading.
  • Perform exploratory and statistical analysis to identify trends, patterns, and correlations.
  • Build, automate, and maintain dashboards and reports using BI tools (Power BI, Tableau, or Looker Studio).
  • Write and optimize SQL queries to extract and manipulate data.
  • Apply AI/ML techniques where relevant — predictive analysis, segmentation, forecasting and leverage AI tools to improve analysis and reporting efficiency.
  • Translate business questions into analytical problems and communicate findings clearly to stakeholders.
  • Define, track, and report on KPIs; flag anomalies and opportunities proactively.
  • Document data definitions, methodologies, and pipeline/reporting processes; maintain data quality standards.

Requirements

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field
  • 2–5 years of experience in data analysis
  • Strong proficiency in Python (pandas, NumPy) and SQL
  • Experience building or maintaining data pipelines (ETL/ELT); exposure to tools like
  • Airflow, dbt, or cloud data services a plus
  • Hands-on experience with at least one BI/visualization tool (Power BI, Tableau, Looker Studio)
  • Basic knowledge of AI/ML concepts (regression, classification, forecasting) and
  • familiarity with AI tools (e.g., ChatGPT/LLM-based workflows) for productivity
  • Solid understanding of descriptive statistics; A/B testing knowledge a plus
  • Strong analytical thinking, attention to detail, and communication skills
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