Data Analyst

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:


About the Role

Senior Data Analytics professional


If you are a proactive problem-solver who thrives in fast-paced, high-growth environments and enjoys working cross-functionally to drive measurable business impact — we’d love to meet you.


Responsibilities

  • Lead end-to-end analytics initiatives across marketing, operations, and product functions.
  • Define, design, and implement measurement frameworks and data models to improve marketing ROI and operational efficiency.
  • Partner with cross-functional stakeholders to identify business challenges, translate them into analytical problems, and deliver data-driven recommendations.
  • Develop and automate robust dashboards, reports, and data visualizations for key performance tracking (preferably using Power BI, Tableau, or Looker).
  • Conduct advanced statistical analysis, predictive modeling, and hypothesis testing to uncover trends and optimize business outcomes.
  • Drive data governance and ensure data quality, consistency, and scalability across systems.
  • Mentor junior analysts and establish best practices for analytics workflows, reporting, and experimentation.
  • Collaborate with engineering and product teams to enhance data infrastructure and enable better tracking and insights.


Requirements

  • Education:

    Bachelor’s or Master’s degree in Statistics, Operational Research, Mathematics, Computer Science, Economics, or a related quantitative discipline.
  • Experience:

    3+ years of professional experience in Data Analytics, Business Intelligence, or Data Science, preferably within a high-growth SaaS, IT product, or e-commerce company.


Technical Skills:

  • Advanced proficiency in SQL for data extraction and transformation.
  • Strong experience in at least one programming language (Python, R preferred).
  • Expertise in BI and visualization tools (Power BI highly preferred; Tableau/Looker/Qlik acceptable).
  • Proficient in statistical analysis, predictive modeling, A/B testing, and data storytelling.
  • Comfortable working with large, complex datasets and developing scalable data solutions.


Soft Skills:

  • Excellent communication and stakeholder management skills — ability to translate data into actionable business insights.
  • Strong problem-solving mindset, high attention to detail, and a bias for execution.
  • Proven ability to lead projects independently and mentor junior analysts.
  • Self-starter with a passion for leveraging data to drive strategic impact.


Why Spiro

At Spiro, you’ll join a fast-moving team that values curiosity, ownership, and impact. You’ll have the freedom to experiment, the tools to grow, and the opportunity to influence key business decisions

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