Data Analyst - 7+years - PAN INDIA

Discipline: Technology
Job type: Permanent
Contact name: Jyothi Priya

Contact email: jyothi.priya@crescendogroup.in
Job ref: 41702
Published: 22 days ago

Analyst – Python, SQL, Power BI, SaaS  – PAN INDIA - 7+years 

An excellent opportunity for someone having atleast 7years of experience. A person must have hands-on experience in Python, SQL, Power BI, SaaS.

Location –  PAN INDIA

Your Future Employer- It is a leading player in data-driven analytics, offering predictive and actionable solutions in marketing, supply chain, and risk management. Serving industries like retail, healthcare, BFSI, and more.

 Your Responsibilities:

  • Analyze and manage data using SQL and Python.
  • Build interactive dashboards and reports in Power BI.
  • Collaborate with teams to deliver actionable insights.
  • (Preferred) Analyze SaaS metrics and performance.

Requirements:

  • Proficiency in Python, SQL, and Power BI.
  • 7+ years in data analytics.
  • Bachelor’s degree in a relevant field.
  • Strong problem-solving and communication skills.

What is in for you:

  • Competitive salary with performance incentives.
  • Flexible remote work across India.
  • Access to advanced data analytics tools and technologies.
  • Collaborative, inclusive, and innovation-driven culture.
 Reach us- If you feel that you are the right fit for the role please share your updated CV at Jyothi.priya@crescendogroup.in

Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note: We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated. 

Profile Keywords-   

  • Data Analyst
  • Python
  • SQL
  • Power BI
  • SaaS Analytics