52 Data Analyst jobs in Tirupati
Data Analyst
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About the Company
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
About the Role We are seeking a talented and motivated student intern for a Data Analyst role. This is an extraordinary opportunity for a self-driven, analytically minded student with a passion for extracting meaningful insights from complex datasets and contributing to data-driven decision making.
About the Internship:
As a Data Analyst intern, you will work on cutting-edge projects involving data collection, processing, analysis, and visualization. You will have the opportunity to engage in multiple mini-projects across various functional areas of the company. The internship is designed to provide practical exposure to real-world data analysis and business intelligence.
Key Responsibilities
As part of the internship, you will work through a structured set of assignments designed to enhance your understanding of data analytics methodologies and applications. Your primary responsibilities will include:
Data Collection & Processing
- Gather data from various sources and databases
- Clean and pre-process data to ensure quality and usability
- Develop and maintain data pipelines
- Implement data validation procedures and quality checks
Data Analysis & Modelling
- Apply statistical methods to interpret datasets
- Identify patterns, trends, and correlations in complex data
- Develop predictive models and conduct hypothesis testing
- Create data-driven solutions for business problems
Data Visualization & Reporting
- Create interactive dashboards and visual reports
- Develop compelling data visualizations to communicate findings
- Present analytical insights to stakeholders
- Automate regular reporting processes
Business Intelligence
- Transform raw data into actionable business insights
- Support decision-making processes with data-backed recommendations
- Monitor key performance indicators and metrics
- Identify opportunities for process optimization
Capstone Project
- Complete an end-to-end data analysis project including: Problem definition, Data collection and preparation, Analysis and modelling, Visualization of results, and Recommendations based on findings
What You Will Learn
- Practical experience with data analysis tools and techniques
- Hands-on skills in data visualization and dashboard creation
- Strong analytical and problem-solving abilities
- Effective communication of technical findings to non-technical audiences
- Knowledge of AI and machine learning applications in data analytics
Who Should Apply?
- Student or fresh graduate from any academic discipline
- Strong analytical and quantitative skills
- Basic knowledge of data analysis tools (Excel, SQL, Python, or R)
- Interest in working with data and deriving insights
- Willingness to self-learn and work in a fast-paced environment
Internship Details
- Duration: Self-paced. Option of 1 month or 2 months within a period of 4 months provided.
- Type: Unpaid
Data Analyst
Posted 2 days ago
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Hi All, We are hiring for Data Expert (Data Analyst + Data Modeller + Data Engineer), kindly refer the below description:
Work Mode - Remote.
In this role, you will:
- Support the delivery of complex transformation program development within data portfolio.
- Work within agile multi-skilled teams to create world class products to serve our customer’s needs.
- Perform the elicitation and analysis of business change, functional and non-functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
- Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
- Understand the "user" journey end to end which goes beyond the "system”.
- Provide advanced business knowledge and technical support for requirements development.
- Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
- Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
- Create and maintain the data models.
To be successful in this role, you should meet the following requirements:
- Strong Data Analysis and/or Data Modeling experience 4-10 years.
- Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
- Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards.
- Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
- Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
- A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment.
- Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
- Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
- Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable).
Data Analyst
Posted 2 days ago
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We’re Hiring: Data Analyst – Tableau
Location: Chennai (Remote)
Experience: 3+ Years
Notice Period: Immediate Joiners
Shift: Includes Night Shifts (US Shift)
⭐ Preferred Candidates: From Chennai, Andhra Pradesh, Kerala & Bangalore
Job SummaryWe are seeking a highly skilled Data Analyst with proven expertise in Tableau to join our team. This role is best suited for professionals who excel in Tableau and can create impactful data visualizations without reliance on other BI tools like Power BI. You will work on transforming complex datasets into clear, actionable insights, driving smarter business decisions.
Key Responsibilities- Design, develop, and maintain interactive Tableau dashboards and reports
- Gather, clean, and analyze large datasets from multiple sources
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights
- Identify data trends, anomalies, and opportunities for business improvements
- Develop and optimize ETL pipelines using Apache Airflow or similar tools
- Lead and mentor a team of data engineers; review performance and guide career development
- Plan, coordinate, and deliver data projects within deadlines
- Design scalable and efficient data architectures and workflows
- Ensure proper documentation of processes and dashboards for transparency
- Act as a liaison between stakeholders and technical teams to align project objectives
- Tableau – Advanced level (must be your core BI tool expertise)
- Proficiency in Tableau (Desktop, Server/Online).
- Strong SQL skills for data extraction and manipulation.
- Good understanding of data visualization principles and best practices.
- Strong analytical, problem-solving, and communication skills.
- Attention to detail and ability to work with large datasets.
- Tableau administration and back end data checking
- Strong SQL skills
- Data modelling & data warehousing concepts
- ETL tools (preferably Apache Airflow)
- Optimization and tuning of data pipelines
- Familiarity with Hadoop infrastructure and/or cloud platforms (AWS, GCP, Azure)
- Strong analytical and problem-solving abilities
- Excellent communication and collaboration skills
- Leadership qualities with a proactive approach to team management
- Ability to work independently in a fast-paced environment
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Application Instructions:Interested candidates may send their updated resume and cover letter to with the subject line:
Data Analyst (Tableau Application – (Your Name)
Please include the following details in your email:
- Mobile Number:
- Current CTC:
- Expected CTC:
- Current Location:
- Willingness to relocate to Chennai:
- Notice Period:
- Interview Availability (Mon–Fri, Date & Time):
- Total Experience:
- Relevant Experience:
- Experience in Tableau:
- Experience in ETL tools:
- Experience in writing SQL Queries:
- Experience in Python:
- Full Skill Set:
- Reason for Job Change:
- Willingness to Work Night Shift:
Fresher data analyst
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Company DescriptionCrypto Chakra is a leading cryptocurrency analytics and education platform dedicated to simplifying the complexities of digital asset markets. We use machine learning and real-time blockchain data to provide accurate cryptocurrency price forecasts. Crypto Chakra offers curated tutorials, risk management frameworks, and market analysis guides to foster financial literacy. Our goal is to revolutionize crypto accessibility through advanced technology and education, facilitating informed decision-making for a global audience. Operating primarily as a remote-first team, we are committed to transparency, collaboration, and innovation in the fintech sector.Role DescriptionThis is a remote internship role for a Fresher Data Analyst. The Data Analyst intern will assist with data collection, data cleaning, and data analysis. Daily tasks will involve working with various data analytics tools to uncover insights, create data visualizations, and contribute to predictive models. The intern will also help in interpreting data patterns and presenting findings to the team.QualificationsProficiency in Analytical Skills and Data AnalyticsUnderstanding of Statistics and Data ModelingStrong Communication skillsFamiliarity with tools such as Python/R, SQL, and Tableau is a plusAbility to work independently and collaboratively in a remote environmentEnthusiasm for learning about blockchain and cryptocurrency marketsWe offer both paid/unpaid internships depending on suitability and experience.
Portfolio data analyst
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We are seeking dynamic Portfolio Data Analysts to join our team and collaborate closely with our founders, financial analysts, product managers, and engineers. In this role, you'll play a pivotal part in supporting our client onboarding and success team. You'll need a strong ability to analyze financial data, translate insights into actionable strategies, and effectively guide clients through our platform's features to drive their success.Responsibilities: Analyze and onboard portfolio data from various sources into Arcana's data integration ecosystem.Collaborate with engineering, product management, and data operations teams to deliver high-quality, timely, and reliable data solutions through Arcana's platform.Work with a range of third-party data providers to integrate their data into Arcana's system.Develop and support data aggregation solutions based on client and third-party content, tailored to user workflow needs.Collaborate with user experience, design, and project management teams to develop data-oriented workflow solutions and product enhancements.Analyze and implement solutions to improve data operations and pipeline efficiency.Understand Arcana's products and clients, working closely with internal stakeholders to identify new opportunities to serve clients and grow the business.Contribute to the evolution of Arcana's financial data solutions, ensuring the platform remains a leading integrator of market-traded and alternative asset data.Requirements: GPA of 8.0+Data analysis experience with exposure to finance and investment management.Strong communication and interpersonal skills for collaborating with vendors, clients, and internal teams.Ability to communicate complex ideas, problems, and solutions clearly both verbally and in writing for development, sales, clients, and third-party data providers.Ability to work with engineering teams to define functional and technical solutions to business problems, including a solid understanding of data development, data modeling, and writing/reviewing technical documentation.A passion for the finance and technology space, with a focus on solving complex problems in the investment management industry.Experience working with financial data and concepts relevant to Arcana's clients and products is highly preferred.
Revenue Data Analyst
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Position: Revenue Analyst (Full-Time)
Location: Remote (India-based Candidates Only)
Working Hours: Night Shift | Alignment with U.S. Time Zones Required
Compensation: ₹7 – ₹10 LPA (Based on Experience)
Start Date: Immediate Joiners Preferred
About the Role
We are seeking a talented Revenue Analyst with proven experience in short-term vacation rentals to join our team full-time. This role is ideal for professionals who are highly analytical, data-driven, and experienced in dynamic pricing, forecasting, and revenue optimization.
You will be responsible for developing and executing revenue strategies for a growing portfolio of U.S.-based vacation rental properties. Working closely with cross-functional teams, you’ll use industry-leading pricing platforms and data tools to drive occupancy, increase profitability, and support strategic decision-making.
PLEASE NOTE: CANDIDATES WITH ONLY HOTEL INDUSTRY EXPERIENCE WILL NOT BE CONSIDERED FOR THIS ROLE. PRIOR EXPERIENCE IN THE SHORT-TERM VACATION RENTAL SECTOR IS MANDATORY.
Key Responsibilities
- Design and manage data-driven pricing strategies using tools like KeyData , PriceLabs , and other dynamic pricing platforms.
- Analyze occupancy trends, pacing data, and market dynamics to adjust pricing and boost RevPAR, ADR, and overall revenue.
- Monitor market indicators and competitor performance to inform revenue decisions.
- Develop performance dashboards and reports to support internal and client-facing analysis.
- Conduct property audits to identify revenue opportunities, improvement areas, and upsell potentials.
- Collaborate with Business Development, Marketing, and Operations to enhance property performance and alignment.
- Present clear, data-backed recommendations to internal teams and homeowners.
- Leverage AI/ML tools and automation to streamline data workflows and improve forecasting accuracy.
- Take ownership of ad-hoc analysis and reporting projects as needed.
Required Qualifications
- Bachelor’s degree in Economics, Statistics, Mathematics, Computer Science, or a related field.
- Minimum 3 years of hands-on experience in revenue management or data analytics within the short-term vacation rental industry .
- Mandatory experience with KeyData , PriceLabs , or equivalent dynamic pricing tools.
- Proficient in SQL and Python for data cleaning, transformation, and analysis.
- Strong analytical mindset with the ability to interpret complex visualizations and translate them into business actions.
- Experience with business intelligence tools like Power BI , Tableau , or similar platforms.
- Familiarity with forecasting techniques and statistical modeling.
- Comfortable working U.S. hours and engaging with U.S.-based stakeholders.
- Excellent written and verbal communication skills.
- Highly independent, self-motivated, and detail-oriented in a remote work environment.
Why Join Us
- High-impact role that directly influences business growth and profitability.
- Work with a collaborative, forward-thinking team in a data-driven environment.
- Be part of a fast-scaling company in the vacation rental space.
- Competitive compensation and opportunities for performance-based growth.
Note: This position is open exclusively to candidates residing in India. Applications from outside India, including the U.S., will not be considered.
Lead Data Analyst
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Profile
They need a data-driven professional with strong analytical skills and experience handling digital marketing data. Someone who can navigate various platforms (web analytics, ad platforms and other allied data) and turn that into meaningful insights for business stakeholders.
It’s more of a hybrid Digital/Marketing Analytics role rather than a purely “web analyst” or strictly “data analyst” position. Here’s why:
1. Focus on Multiple Digital Platforms
They’re looking for someone who can work across GA4 (or equivalent), plus other MarTech/AdTech data sources (CRM, ads, surveys, etc.).A pure “web analyst” role typically focuses on website data (e.g., GA, site funnels, user behavior). Here, the scope extends to broader marketing campaigns and channels.
2. Wider Data Landscape
They highlight SQL and BigQuery, indicating a focus on large-scale data processing and integrating data from multiple sources. Unlike a general data analyst, who may not specialize in marketing performance metrics or digital marketing platforms, this role likely involves analyzing campaign effectiveness, customer behavior, and cross-channel attribution using advanced data queries.
3. Marketing & Performance Insights
The role involves translating data into actionable insights to optimize campaigns and improve ROI, indicating a marketing analytics tilt.This goes beyond just tracking website metrics or crunching numbers; it requires an understanding of marketing funnels, conversions, and campaign KPIs
Skill Set
1. Digital Marketing Analytics
Experience with web analytics tools (GA4, Adobe Analytics, etc.)
Familiarity with common marketing channels (paid ads, SEO, email) and how their data is tracked
2. SQL & Data Querying
Proficiency in extracting and manipulating data using SQL (BigQuery or similar databases).Ability to optimize queries and handle mid-to-large datasets
3. Multi-Source Data Wrangling
Comfortable cleaning, merging, and normalizing data from different platforms (CRM, ad platforms, surveys). Able to address outliers and inconsistencies in datasets
4. Data Visualization & Reporting
Skilled in creating dashboards and reports with Looker Studio, Tableau, Power BI, or equivalent tools. Ability to present complex data in a clear, actionable format
5. Basic Statistical Methods
Understanding of fundamental statistics (e.g., hypothesis testing, regression basics).Capable of running A/B tests and validating data findings
6. Marketing Performance Metrics
Knowledge of KPIs such as CTR, CPA, ROI, LTV, etc.Ability to connect these metrics back to broader business objectives
7. Communication & Stakeholder Management
Excellent at translating data insights into non-technical language.Experience working cross-functionally with product, marketing, or data engineering teams
8. Critical Thinking & Problem-Solving
Strong analytical mindset to spot trends and derive strategic recommendations.Creative in finding data-driven solutions to marketing challenges
9. Adaptability & Continuous Learning
Willingness to explore new analytical tools and stay updated with MarTech/AdTech trend.Eager to learn and leverage evolving data methodologies to drive better results
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Senior Data Analyst
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About Adeptmind
Adeptmind is an AI-powered product discovery platform transforming the way people shop online. Our cutting-edge technology enhances e-commerce search experiences for top retailers across the globe. We’re a tight-knit, agile team of engineers, product people, entrepreneurial thinkers, and fast-paced operators, working on the future of search and product discovery.
Are you a data-driven storyteller who thrives at the intersection of numbers, insights, and innovation? At Adeptmind , we’re on the hunt for a Senior Data Analyst who’s not just great with Python and SQL, but someone who lives to solve complex problems, connect dots, and influence high-impact decisions across the business.
This isn’t your typical data role. You’ll be diving deep into real-world user behaviour, powering the brains behind cutting-edge AI and ML models, and partnering with cross-functional teams in a fast-moving, globally distributed environment.
What You’ll Do
- Turn data into direction : Analyze large datasets using Python and SQL to uncover insights that directly shape product and business strategy.
- Build tools that scale : Design and automate dashboards, reports, and pipelines that empower teams across the company to make data-informed decisions — at speed and at scale.
- Own the story behind the numbers : Partner with product, engineering, and business leads to define key metrics, track performance, and surface trends.
- Be hands-on with the tools : Leverage Python (Pandas, NumPy, etc.), SQL, and advanced Excel techniques to clean, transform, and analyze data from multiple sources.
- Shape how we do analytics : Help evolve our data stack, define best practices, and ensure analytics tools are robust, scalable, and accessible across teams.
- Stay ahead of the curve : Stay updated on the latest in analytics, data science, and AI/ML — and apply new ideas to help us work smarter and faster.
- Bonus points : Experience with machine learning or predictive modelling is a plus — but curiosity, creativity, and rigour matter more.
What We’re Looking For
- 4+ years of hands-on experience in data analysis, business analytics, or data science
- Advanced proficiency in Python and SQL
- Strong analytical mindset and critical thinking skills; you're comfortable with ambiguity and love solving open-ended problems
- Experience working with cross-functional teams in a fast-paced or startup environment
- Familiarity with AI/ML concepts or past exposure to model-driven products is a huge plus
Compensation & Perks
- A salary that matches your talent – We offer a competitive compensation package tailored to your experience, skillset, and performance during the interview process.
- Performance matters here – We reward impact with meaningful bonuses and clear growth paths within a lean, high-performing team.
- Remote-first, human-first – Work from wherever you're most productive. Join a globally distributed team that values trust, autonomy, and collaboration.
Why Adeptmind?
Adeptmind is an AI-first product discovery company on a mission to reinvent how people find what they love online. Backed by global investors and driven by a diverse, passionate team, we’re solving tough problems using cutting-edge technology. Join us and help shape what the future of e-commerce and discovery looks like.
Please note- We're eager to have the right candidate on board as soon as possible, with a maximum notice period of 30 days.