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Data Analytics (Remote - India)

Jobgether

Gurugram District, Pune District, Dadri

Hybrid

INR 4,50,000 - 6,75,000

Full time

Today
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Job summary

A data analytics solution provider is seeking an experienced Data Analytics Professional for a remote role in India. This 6-month contract involves designing ETL pipelines, data modeling, and utilizing analytics tools like Snowflake and Sigma BI. Ideal candidates have over 5 years of experience and the ability to manage large datasets independently. Regular team visits to Noida, Gurgaon, or Pune are included in this flexible opportunity.

Benefits

Competitive compensation
Opportunity to work with modern data platforms
Collaborative, data-driven environment

Qualifications

  • Minimum of 5 years of experience in Data Analytics or a related field.
  • Proven expertise in Snowflake, Sigma BI, SQL, Data Modeling, ETL, and Python/R.
  • Strong capability in managing and analyzing large datasets efficiently.
  • Excellent problem-solving, communication, and analytical thinking skills.
  • Ability to work independently in a remote setup and meet project deadlines.
  • Immediate or short-notice availability will be preferred.

Responsibilities

  • Design, build, and maintain efficient data models and ETL pipelines.
  • Utilize Snowflake and Sigma BI for advanced analytics, reporting, and data visualization.
  • Write and optimize SQL queries for large, complex datasets.
  • Collaborate with stakeholders to translate business requirements into scalable data solutions.
  • Ensure data quality, consistency, and governance across analytical processes.
  • Present analytical insights and recommendations in a clear format.

Skills

Data Analytics
SQL
Python
Data Modeling
ETL
Snowflake
Sigma BI
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analytics Professional in India.

We are seeking an experienced Data Analytics specialist for a 6-month contract (extendable) to support advanced data modeling, reporting, and business intelligence initiatives. In this role, you will design and maintain scalable ETL pipelines, leverage cloud-based data platforms, and deliver actionable insights that drive business strategy. The ideal candidate combines technical mastery with analytical acumen, ensuring data accuracy and high-quality reporting. This fully remote opportunity requires occasional quarterly visits to offices in Noida, Gurgaon, or Pune, offering flexibility while maintaining collaboration with a dynamic cross‑functional team.

Accountabilities
  • Design, build, and maintain efficient data models and ETL pipelines.
  • Utilize Snowflake and Sigma BI for advanced analytics, reporting, and data visualization.
  • Write and optimize SQL queries for large, complex datasets.
  • Apply Python or R for statistical analysis, data transformation, and predictive modeling.
  • Collaborate with stakeholders to translate business requirements into scalable data solutions.
  • Ensure data quality, consistency, and governance across analytical processes.
  • Present analytical insights and recommendations in a clear, actionable format for decision‑makers.
Qualifications
  • Minimum of 5 years of experience in Data Analytics or a related field.
  • Proven expertise in Snowflake, Sigma BI, SQL, Data Modeling, ETL, and Python/R.
  • Strong capability in managing and analyzing large datasets efficiently.
  • Excellent problem‑solving, communication, and analytical thinking skills.
  • Ability to work independently in a remote setup and meet project deadlines.
  • Immediate or short‑notice availability will be preferred.
Contract & Benefits
  • 6‑month extendable contract with potential for continued collaboration.
  • Fully remote role with quarterly team visits to Noida, Gurgaon, or Pune.
  • Competitive compensation aligned with experience.
  • Opportunity to work with modern data platforms and cutting‑edge analytics tools.
  • Exposure to a collaborative, data‑driven environment promoting innovation and growth.

Thank you for your interest!

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