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Capillary Technologies logo — Capillary Technologies Python Data Analyst in Vijayawada, Andhra Pradesh
Capillary Technologies VerifiedActively Hiring

Python Data Analyst

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Location

Vijayawada, Andhra Pradesh

Work Mode

In Office

Duration

0 months

Stipend

₹47,000/mo

Start Date

Immediate / as per notice period

Openings

5 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Build your Python-based data analysis career at Capillary Technologies as a Python Data Analyst in Vijayawada. This is a full-time position with genuine ownership from the first month — your own datasets, your own dashboards, and stakeholders who rely on them. About the role The Python Data…

About Capillary Technologies

Capillary Technologies is hiring a Python Data Analyst in Vijayawada — a full-time analytics role working in Python, Pandas and SQL, with an indicative CTC of 3.8 LPA–7.6 LPA and 5 openings.
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Vijayawada, Andhra PradeshVerified employer5 openings
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Skills Required

PythonPandasNumPyMatplotlib / SeabornSQLJupyterData CleaningExploratory Data AnalysisStatisticsGitPower BICommunication

Who Can Apply

  • B.E./B.Tech, BCA/MCA, B.Sc/M.Sc (Statistics / Mathematics / Data Science), B.Com, BBA or MBA graduates with 0–2 years of relevant experience, based in Vijayawada or willing to relocate. You should be comfortable with Python, Pandas, NumPy, able to work independently on a defined analytical question, and able to communicate the answer in plain language. Freshers and 2026 graduates are explicitly welcome — a portfolio of real analysis counts for more than years on a CV.

Perks

Health insurance for you and your dependantsProvident Fund and statutory benefitsStructured onboarding and mentorshipLearning & certification support (SQL, Power BI, Tableau, cloud)Paid leaves and public holidaysFlexible / hybrid working optionsModern analytics tooling and licensed BI seatsClear appraisal cycle and internal mobility

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Case study / take-home assignment on a real dataset, with a walkthrough of your approach
  3. 3Technical interview 2 — BI tooling, dashboard design and metric definition
  4. 4Business / stakeholder round — how you scope a question and communicate findings
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
47,000/month

Stipend · 0 months

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Openings5 positions
Applicants0 applied
ModeIn Office
CategoryData Analyst
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