Associate Manager Analytics (Hyd)
Hyderabad, Andhra Pradesh, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingWe are looking for Associate Manager Analytics who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries.
Understand business processes and map the complete process in visual formats.
You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
From the employer’s posting
We are looking for Associate Manager Analytics who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries.
Understand business processes and map the complete process in visual formats.
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices: New York | Dallas | San Francisco | Lima | Bengaluru
Tools in this posting
- Python
- SQL
- Tableau
- NumPy
- pandas
- PySpark
- Scipy
- AWS
- Power BI
- scikit-learn
Source — Tool mentions in context
- Proficient in MS SQL Database. - Python knowledge is good to have. - Strong analytical and problem-solving skills.
- Strong in statistical & machine learning concepts - Knowledge of Python Libraries - Scipy, Numpy, Pandas, IPython, Scikit-learn - Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS)
- Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any). - Proficient in MS SQL Database. - Python knowledge is good to have.
Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations)Conducting quantitative analyses and interpreting results - Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any). - Proficient in MS SQL Database.
- Knowledge of Python Libraries - Scipy, Numpy, Pandas, IPython, Scikit-learn - Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS) Note:
Job description
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
Offices: New York | Dallas | San Francisco | Lima | Bengaluru
About the Role:
We are looking for Associate Manager Analytics who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries.
More specifically, you will:
- Engage with clients to understand their business context
- Understand business processes and map the complete process in visual formats.
- Translate business problems into analytical structures and solve using statistical/ML techniques
- Manage a team of data analysts to deliver solutions for clients.
- Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes.
Desired Skills & Competencies:
- Developing and enhancing algorithms and models to solve business problem.
- Providing end-to-end analysis support across different industry domains and application areas.
Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations)Conducting quantitative analyses and interpreting results
- Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any).
- Proficient in MS SQL Database.
- Python knowledge is good to have.
- Strong analytical and problem-solving skills.
Storyboarding, Client Interaction is a value addition.
Education & Desired Experience
- 4 - 6 years of relevant Analytics experience with focus on problem solving and advanced analytics solutions
- B.E/B.Tech, MBA or an Advanced degree in Mathematics/Statistics or Equivalent.
Preferred Qualifications (would be a plus):
- Strong in statistical & machine learning concepts
- Knowledge of Python Libraries - Scipy, Numpy, Pandas, IPython, Scikit-learn
- Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS)
Note:
By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, Andhra Pradesh, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 22, 2026
- Recorded sightings
- 11
- Last seen by us
- Oct 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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