112 Data Analyst jobs in Coimbatore

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 in financial markets. 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

Location:  Bengaluru (Hybrid)

Company:  Flexi Roundtables

Flexi Roundtables is India’s fastest-growing leadership engagement platform, curating invite-only experiences for Top 1% leaders across technology, BFSI, manufacturing, and GCCs. With a community of 400K+ leaders and clients like AWS, Snowflake, and global enterprises, we’re building the gold standard for business conversations in India and beyond.

We’re looking for a Data Analyst who thrives on turning complex data into sharp insights that drive decision-making. You’ll be the backbone of how we measure, analyze, and scale the impact of our roundtables, leader communities, and sponsorship ecosystem.

• Collect, clean, and analyze data from multiple sources (, CRM, event registrations, sponsor reports, feedback forms, etc.).
• Build dashboards and reports that track leader engagement, sponsor ROI, and event performance.
• Identify patterns in leader participation, content virality, and market trends to support strategy.
• Work closely with leadership, content, and sales teams to provide actionable insights.
• Own the data pipeline—ensuring data accuracy, consistency, and storytelling.
• Experiment with predictive models for leader turnout, sponsorship success, and community growth.

• 2–4 years of experience in data analytics, preferably in B2B, SaaS, events, or community businesses.
• Proficiency in SQL, Excel/Google Sheets, and BI tools (Tableau/Power BI/Looker Studio).
• Strong ability to translate raw data into simple, visual insights.
• Hands-on experience with data cleaning and handling large datasets.
• Curiosity to go beyond the numbers—ask the right questions and challenge assumptions.
• Bonus: Knowledge of analytics, HubSpot/Zoho CRM, or event-tech platforms.

• Be part of a Top 1% Leaders  ecosystem trusted by global enterprises.
• Work directly with leadership on high-visibility projects that shape India’s leadership landscape.
• Freedom to experiment with new data models and frameworks.
• A culture built on clarity, curiosity, and scaling impact.

Key Responsibilities:

• Data Analysis & Insights: Analyze large datasets (cloud & on-premise) using statistical techniques, predictive analytics, and data mining to uncover business opportunities and historical trends.
• Automation & Advanced Tools: Use SQL, Python, and advanced Excel/Google Sheets for data manipulation, automation, and building interactive dashboards for streamlined reporting.
• CRM & Data Management: Manage and optimize CRM systems (preferably Zoho CRM/Analytics) to analyze customer behavior, improve lead management, and enable data-driven sales and marketing strategies.
• Cross-functional Collaboration: Work closely with leadership, product, marketing, and operations teams to translate business needs into data-driven solutions.
• Reporting & Storytelling: Create clear reports, dashboards, and presentations that effectively communicate insights and influence decision-making.
• Process Optimization: Lead analytics initiatives, automate workflows, and improve business processes to support long-term strategic outcomes.

Required Skills & Qualifications:

• Strong proficiency in SQL, Python (Pandas, NumPy, etc.), and Advanced Excel/Google Sheets .
• 3+ years of experience as a Data Analyst , with proven business acumen.
• Solid expertise in data mining, predictive analytics, and data visualization .
• Experience with Zoho CRM/Zoho Analytics (preferred but not mandatory).

We suggest you enter details here.

This is a full-time on-site role for a Data Analyst located in New Delhi. The Data Analyst will be responsible for gathering, analyzing, and interpreting various data sets to provide insights and recommendations. Day-to-day tasks will include designing and implementing data analyses, developing data models, and generating reports. The Data Analyst will work closely with cross-functional teams to identify data trends and support decision-making processes.

• Strong Analytical Skills and expertise in Data Analytics
• Knowledge of Statistics and Data Modeling
• Excellent Communication skills for presenting data insights
• Proficient in data visualization tools and software (e.g., Tableau, Power BI)
• Ability to work collaboratively in a team environment
• Experience with programming languages like Python or R is a plus
• Bachelor's degree in Data Science, Statistics, Computer Science, or related field

Company Description

Sambodhi Research & Communications is a consultancy that focuses on creating high-impact knowledge to drive accountability in the public domain. We offer project management, monitoring & evaluation, and research solutions to various stakeholders including governments, aid agencies, and philanthropic foundations. Our work spans across sectors such as public health, nutrition, sanitation, renewable energy, and livelihoods. We also contribute to building a community of evaluators in South Asia through initiatives like the Community of Evaluators-South Asia and the South Asian Journal for Evaluation in Practice.

Primary Responsibilities

• Conducting comprehensive market research to gather relevant data.
• Analyzing quantitative and qualitative data to identify trends and insights.
• Preparing detailed reports that summarize findings and provide actionable recommendations.
• Collaborating with team members to design research methodologies tailored to specific projects.
• Presenting research findings to stakeholders in a clear and concise manner.

Skills and Qualifications

• Strong analytical skills with proficiency in statistical software and tools.
• Excellent written and verbal communication skills for report writing and presentations.
• Ability to work independently as well as in a team-oriented environment.
• Familiarity with research methodologies and data collection techniques.
• A degree in a relevant field such as social sciences, statistics, or business is often preferred.

We are looking for a Content Automation Specialist with strong Python and Data Engineering skills to help streamline and scale our content operations. This role focuses on automating workflows, managing large content libraries, and building tools that make content delivery faster and more efficient.

Looking for data analysis and automation in travel domain experience

Key Responsibilities

Content Processing & Delivery

1. Build and maintain pipelines for processing and delivering video and digital content.

2. Ensure smooth handling of client-specific content requirements.

Content Inventory Management

1. Maintain dashboards and inventories of processed and live content.

2. Identify content gaps and provide insights to guide sourcing priorities.

Process Automation & Efficiency

1. Develop scripts for automated quality checks (e.g., missing metadata, duplicates, formatting issues).

2. Create tools to accelerate repetitive tasks such as renaming, tagging, and formatting.

3. Set up automated alerts and triggers for content workflows.

4. Standardize metadata, tags, and naming conventions across content pipelines.

Reporting & Analytics

1. Build dashboards and reports to track processing status, approvals, and live content.

2. Analyze content coverage to identify underrepresented regions or categories.

Collaboration & Strategic Impact

1. Work closely with sourcing and content teams to translate gaps into actionable requirements.

2. Provide client-ready reporting on processed and published content.

3. Pilot scalable solutions and integrate AI-driven tools for tasks like auto-tagging or transcription.

Skills & Qualifications

● Strong foundation in Python and SQL for data handling and automation.

● Hands-on experience with Airflow or other workflow orchestration tools.

● Experience working with cloud services (preferably AWS stack).

● Experience designing dashboards and reporting systems (Looker Studio, Grafana).

● Bonus: Experience with AI/ML-driven use cases for auto-tagging, transcription, or content enrichment

● Familiarity with managing large-scale digital content libraries (video/image assets preferred).

● Detail-oriented with the ability to spot inconsistencies and gaps.

● Strong problem-solving and operational mindset — able to own end-to-end processes.

● Excellent communication and collaboration skills.

Greetings from TATA Consultancy Services!

Thank you for expressing your interest in exploring a career possibility with the TCS Family.

Hiring For: Workday Data Analyst and Data conversion

Location: Bengaluru, Open for other locations including Chennai, Pune, Mumbai, Hyderabad, Kolkata, Delhi NCR

Experience: 8+ Years

Mode Of Interview: Virtual Interview

Desired Competencies (Technical/Behavioral Competency)

Must-Have

• Bachelor’s degree in Information Systems, Data Analytics, Finance, or related field.
• 5 years of experience working with Workday Finance or other modules (reporting, analytics, or data management). Strong knowledge of Workday Reporting (Advanced, Matrix, Composite, Prism Analytics).
• Hands-on experience with EIBs, calculated fields, and business process configuration.
• Proficiency in Excel, SQL, or other data analysis tools is a plus.
• Strong analytical skills with the ability to interpret data and provide actionable insights.
• Excellent communication and stakeholder management skills.
• Ability to work independently in a fast-paced, dynamic environment.
• Data analysis, Data preparation and formatting, Data load execution (EIB/iLoad), Data migration, end to end data conversion, reporting and metrics validation

Good-to-Have

• Workday Prism Analytics experience.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Familiarity with HR, Finance, or Payroll processes.
• Experience in Workday implementations or upgrades
• Certified in Workday Modules

Role descriptions / Expectations from the Role

• Develop, maintain, and optimize Workday reports, dashboards, and calculated fields across Finance and other modules.
• Partner with HR, Finance, and IT teams to analyze business requirements and translate them into effective reporting solutions.
• Perform data validation, data audits, and reconciliations to ensure accuracy, compliance, and consistency.
• Manage data uploads, mass changes, and EIBs (Enterprise Interface Builder) as required.
• Support Workday data integrations with other enterprise systems by analyzing requirements and monitoring data flows.
• Ensure compliance with data governance, privacy, and security policies.
• Provide ad hoc analysis and insights to leadership teams to support workforce planning, financial forecasting, and other business initiatives.
• Collaborate with cross-functional teams to drive process improvements and automation within Workday.
• Troubleshoot reporting and data issues, providing timely resolutions.

Talent Acquisition Group

Tata Consultancy Services

Job Description – Data Analyst

Location: (Specify Location or Remote)

Department: Strategy & Analytics

Employment Type: Full-time

About Moris Media

Moris Media is a leading Digital Marketing and PR boutique agency with a global footprint, operating in over 40+ countries. We serve as strategic partners for businesses, offering a comprehensive suite of services from reputation management to thought leadership development. Our team of “Digital Doctors” provides a data-driven, holistic approach to brand growth, carefully analyzing market dynamics and crafting bespoke solutions that drive tangible results and elevate our clients' presence in the digital landscape.

As the world’s third-largest PR-focused digital marketing boutique agency, we diagnose and treat brands' digital health with precision. Our commitment lies in combining analytical insights with creative strategies, ensuring our clients achieve measurable growth, enhanced authority, and strengthened reputation. By leveraging innovation, data, and expertise, Moris Media solidifies businesses as industry leaders in an increasingly competitive marketplace.

Job Summary

We are seeking a highly skilled Data Analyst to join our Strategy & Analytics team at Moris Media. The ideal candidate will be passionate about transforming complex data into actionable insights that guide business decisions and campaign strategies. This role demands strong analytical capabilities, proficiency in data visualization, and the ability to collaborate cross-functionally with PR, marketing, and strategy teams.

As a Data Analyst at Moris Media, you will play a pivotal role in driving performance measurement, uncovering trends, and ensuring our clients’ campaigns are rooted in evidence-based decision-making. You will leverage advanced analytical tools to evaluate market dynamics, digital reputation metrics, and campaign impact while providing clear, structured recommendations. This position offers the opportunity to work in a global environment with diverse industries, helping brands build credibility, visibility, and sustainable growth.

Primary Responsibilities

• Collect, process, and interpret structured and unstructured data from multiple sources.

• evelop and maintain dashboards and automated reporting tools to monitor campaign and client performance.

• C nduct market research and competitor analysis using data-driven methodologies.

• P ovide actionable insights that shape PR, marketing, and reputation management strategies.

• I entify key trends, opportunities, and risks across industries and digital platforms.

• S pport predictive modeling and forecasting to optimize client campaigns.

• C llaborate with PR strategists, digital marketers, and reputation managers on data-backed solutions.

• E sure data accuracy, consistency, and integrity across reporting systems.

• P esent findings and recommendations to internal stakeholders and clients in a clear, compelling manner.

• C ntinuously evaluate and improve analytics processes to enhance efficiency and impact.

• T anslate complex datasets into visual reports and storytelling insights.

Primary Skills

• P oficiency in data visualization tools (Tableau, Power BI, or similar).

• S rong expertise in SQL, Excel, and statistical analysis tools (R, Python, or SPSS).

• S lid understanding of digital marketing and PR performance metrics.

• S rong communication and presentation skills for data storytelling.

• A ility to manage large datasets and ensure data quality.

• K owledge of SEO, social media analytics, and digital reputation tracking.

Qualifications

• B chelor’s or Master’s degree in Data Analytics, Statistics, Computer Science, Marketing Analytics, or a related field.

• Certi ication in analytics, data visualization, or digital marketing (preferred but not mandatory).

Experience

• 1 5 years of experience in data analysis, preferably in digital marketing, PR, or media domains.

• E perience with campaign analytics, digital media reporting, or reputation analysis.

How to Apply

If you are a data-driven professional eager to help global brands achieve measurable success, we’d love to hear from you!

Apply here on or

Apply directly via our Company Website Current Openings:

We are looking for a Content Automation Specialist with strong Python and Data Engineering skills to help streamline and scale our content operations. This role focuses on automating workflows, managing large content libraries, and building tools that make content delivery faster and more efficient.

Looking for data analysis and automation in travel domain experience

Key Responsibilities

Content Processing & Delivery

1. Build and maintain pipelines for processing and delivering video and digital content.

2. Ensure smooth handling of client-specific content requirements.

Content Inventory Management

1. Maintain dashboards and inventories of processed and live content.

2. Identify content gaps and provide insights to guide sourcing priorities.

Process Automation & Efficiency

1. Develop scripts for automated quality checks (e.g., missing metadata, duplicates, formatting issues).

2. Create tools to accelerate repetitive tasks such as renaming, tagging, and formatting.

3. Set up automated alerts and triggers for content workflows.

4. Standardize metadata, tags, and naming conventions across content pipelines.

Reporting & Analytics

1. Build dashboards and reports to track processing status, approvals, and live content.

2. Analyze content coverage to identify underrepresented regions or categories.

Collaboration & Strategic Impact

1. Work closely with sourcing and content teams to translate gaps into actionable requirements.

2. Provide client-ready reporting on processed and published content.

3. Pilot scalable solutions and integrate AI-driven tools for tasks like auto-tagging or transcription.

Skills & Qualifications

● Strong foundation in Python and SQL for data handling and automation.

● Hands-on experience with Airflow or other workflow orchestration tools.

● Experience working with cloud services (preferably AWS stack).

● Experience designing dashboards and reporting systems (Looker Studio, Grafana).

● Bonus: Experience with AI/ML-driven use cases for auto-tagging, transcription, or content enrichment

● Familiarity with managing large-scale digital content libraries (video/image assets preferred).

● Detail-oriented with the ability to spot inconsistencies and gaps.

● Strong problem-solving and operational mindset — able to own end-to-end processes.

● Excellent communication and collaboration skills.