Data Analyst
2 days ago
Location:
Kolkata, West Bengal, India
Company:
Inmyo
About Inmyo
Inmyo is solving one of the world's oldest, most silent, and most universal problems- lack of intimacy education – with AI, expert care and wellness commerce, creating an entirely new category; IntimacyTech.
Role Overview
As a Data Analyst at Inmyo, you will be responsible for collecting, processing, analysing, and interpreting large datasets to generate actionable insights that support business objectives. You will collaborate with cross-functional teams to understand business requirements, build reports and dashboards, and help shape strategic decisions using data evidence.
Key Responsibilities
- Gather, clean, validate, and prepare complex datasets from various sources for analysis.
- Interpret data analysis results and communicate insights to stakeholders through reports and presentations.
- Build and maintain dashboards, visualizations, and periodic management reports using BI tools (e.g., Power BI, Tableau).
- Write robust SQL queries to extract, manipulate and analyse data from databases.
- Collaborate with product, engineering, and business teams to define analytical requirements and translate them into technical solutions.
- Identify trends, key performance indicators (KPIs), patterns, and actionable insights influencing business decisions.
- Monitor data quality and integrity, troubleshoot data issues, and recommend improvements to processes.
- Assist in development and implementation of data governance standards and best practices.
Required Qualifications
- Bachelor's degree
in Computer Science, Statistics, Mathematics, Economics, or a related field. - Minimum 3+ years of experience
in data analysis, reporting, or a similar analytical role. - Strong proficiency in
SQL
and relational databases. - Hands-on experience with
data visualization tools
such as Tableau, Power BI, or equivalent. - Excellent analytical and problem-solving skills with attention to detail.
- Ability to interpret complex data and present insights effectively to non-technical stakeholders.
- Familiarity with
Excel
(advanced functions, pivot tables) and data manipulation techniques.
Preferred Skills
- Experience with
Python or R
for statistical analysis or scripting. - Exposure to
data modelling
, predictive analytics, or machine learning basics. - Experience with
ETL tools
and data pipelines.
Soft Skills
- Strong
communication and interpersonal skills
to work with cross-functional teams and present findings. - Excellent
time management
with the ability to prioritize tasks in a fast-paced environment. - Curiosity and a
data-driven mindset
, proactively seeking insights and opportunities.
What We Offer
- Competitive salary and benefits
- A collaborative, innovative work culture
- Opportunities for professional growth and learning
- A chance to make a significant impact with data
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