Data Analyst

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