Data Analytics
Posted today
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Job Description
About the Role:
We are looking for a talented
Software Engineer
specializing in
Data Analytics
using
AI/ML
solutions, with a focus on building scalable applications and intelligent chatbot systems using generative AI. The ideal candidate will have strong expertise in Java development, API creation, microservices architecture, Kubernetes (K8s), and PostgreSQL databases. This role offers the opportunity to work on cutting-edge technologies that drive actionable insights and automated interactions across business domains.
Required Skills:
- Experience in data analytics using AI/ML frameworks and implementing models for predictive analysis.
- Familiarity with generative AI technologies for chatbot development and conversational interfaces.
- Strong experience in Java development with expertise in building APIs and microservices.
- Hands-on experience with container orchestration using Kubernetes (K8s) and Docker.
- Working knowledge of PostgreSQL including schema design, stored procedures, indexing, and query tuning.
- Solid understanding of RESTful architecture, API versioning, and authentication protocols like OAuth.
- Experience with DevOps tools like Git, Jenkins, or Azure DevOps for CI/CD implementation. (Good to have)
- Good problem-solving skills, analytical thinking, and attention to detail.
- Excellent communication skills to collaborate with team members and stakeholders.
Good to have:
- General AI/ML Certifications
- Professional Machine Learning Engineer
- AI for Beginners
- Azure AI Engineer Associate
- Certified Machine Learning – Specialty
Data Analytics, Data Analyst
Posted today
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Job Description
Job Title: Data Analyst
Location: Mumbai (Traveling involved)
Company: Della Townships Pvt. Ltd.
Department: Office of the COO
Reporting To: Chief Operating Officer (COO)
Role Purpose:
The Data Analyst will play a key role in supporting the COO by compiling, analyzing, and comparing data across various functions of Della Townships. The position requires a keen eye for detail, the ability to handle large datasets, and the skill to convert raw information into actionable insights to drive business decisions.
Key Responsibilities:
- Compile and organize data from multiple business units and project sites.
- Conduct data comparison and analysis to identify trends, variances, and improvement areas.
- Prepare accurate and timely reports, dashboards, and presentations for the COO.
- Ensure accuracy, reliability, and consistency of data across systems.
- Collaborate with cross-functional teams to gather, validate, and interpret data.
- Maintain and update centralized databases for project and operational tracking.
- Conduct ad-hoc analyses and provide insights for strategic and operational decision-making.
- Travel to project locations/offices as required to review and validate data.
Requirements:
- Bachelor's degree in Data Science, Statistics, Economics, Computer Science, or related field.
- 2–5 years of experience as a Data Analyst or in a similar analytical role.
- Strong proficiency in MS Excel, SQL, and data visualization tools (Power BI, Tableau, etc.).
- Strong analytical thinking with attention to detail and accuracy.
- Excellent communication and presentation skills for senior management.
- Ability to work independently under strict timelines.
Preferred Skills:
- Experience in real estate, construction, or township projects.
- Knowledge of ERP/CRM systems and business intelligence tools.
- Familiarity with project management and reporting in the real estate sector.
Relevant Field
Minimum Job Experience:2-5 Years
Reporting to:COO
Travel:Travelling Required
Manager, Data & Analytics
Posted 10 days ago
Job Viewed
Job Description
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It With Pride.**
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.
**How you will contribute**
You will:
+ Work in close partnership with the business leadership team to execute the analytics agenda
+ Identify and incubate best-in-class external partners to drive delivery on strategic projects
+ Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
+ Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver
**What you will bring**
A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Using data analysis to make recommendations to senior leaders
+ Technical experience in roles in best-in-class analytics practices
+ Experience deploying new analytical approaches in a complex and highly matrixed organization
+ Savvy in usage of the analytics techniques to create business impacts
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It Possible**
As the Data & Analytics Manager for Consumer tower, you will be involved in driving the Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities to deliver strong business value across all levels of organization at right cost structure and lead the development of a cutting-edge solution that aims to bring BI and AI to the marketing space.
**How You Will Contribute**
You will:
+ Be responsible for analytics engagement with the Marketing function at MDLZ and support the Consumer D&A Lead in driving the D&A agenda and roadmap for the market by collaborating closely with senior business stakeholders to deliver strong business value across functions in the organization.
+ Consult, influence, and collaborate with business stakeholders to craft analytics methodologies and solutions relevant to their needs and use-cases - applying techno-functional expertise in data and AI as part of the solution-forming process.
+ Oversee the day-to-day technical development of the solution, creating strong alignment in the working team to achieve goals.
+ Collaborate across Business and MDS functions to build and develop demands by maximizing our resources of D&A across Data Management, Analytics Products and Data Science- this requires strong collaboration and influencing skills to drive adoption, relevancy, and business impact with speed.
+ Minimizing complexity, establishing right ways of working to accelerate path to value by being choiceful and creative as well as having a growth mindset everyday will be essential.
+ Validate the weekly progress of the technical teams and lead business user tests, ensuring product quality before the product gets into the hands of the internal customer.
**Creating value from** **business-driven** **data and analytics initiatives** **at scale** **.** An important task for the Data & Analytics Manager is to support the business and other stakeholders in their solving their business problems via relevant data & analytics. This means they will support the business during various stages. In the inspiration phase they help the business in identifying the right use cases and support prioritization based on feasibility and value. In the ideation phase they help with the development of a minimum viable product and business case. During the implementation phase they make sure the service or product is adopted (by the employees), embedded in the workflow (process) and measured for impact.
**Helps uncover and translate business requirements and** **stakeholder** **needs.** This translation needs to be done in such a way that the technical specialists in the D&A team can understand (Data Management, Analytics Products, Partners and / or Data Science resources). This requires an understanding of both the business objectives, goals, and domain expertise, as well as data, analytics and technology concepts, methods, and techniques. It also requires strong soft skills with a focus on communication.
The role will lead analytics delivery for Marketing initiatives & BI development (reports, dashboard, visualization) and/or data governance (stewardship best practices).
**Data & analytics skills**
Must have a good understanding of the concepts, methods and techniques used:
+ **Analytics** , for example diagnostic, descriptive, predictive and prescriptive.
+ **AI** , for examplemachine learning, natural language processing.
+ **Data management,** for example data integration (ETL) or metadata.
+ **Data architecture** , for example the difference between data warehouse, data lake or data hub.
+ **Data modelling** , for creation of right reusable data assets.
+ **Data governance** , for example MDM, data quality and data stewardship practices.
+ **Statistical skills** , for example understanding the difference between correlation and causation.
**Technology skills**
Good understanding of the tools and technologies in the D&A team:
+ **Programming languages** like SQL, Python or R and notebooks like R Studio or Jupyter.
+ **Data integration tools** like Informatica or Talend.
+ **Analytics and Business Intelligence tools** like Microsoft Power BI or Tableau.
**S** **oft skills**
+ **Leadership** **with** **high level** **of self-initiative and drive** , for example leading the discussions on D&A agenda in the BU and building a combined vision across multiple stakeholders.
+ **Communication** , for example conveying information to diverse audiences in a way that is easily understood and actionable.
+ **Facilitation and conflict resolution** , for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation.
+ **Creative thinking and being comfortable with unknown or** **unchartered** **territories** , for example framing new concepts for business teams and brainstorming with business users about future product and services.
+ **Teamwork** , for example working with both business domain teams as well as D&A teams and MDS stakeholders.
+ **Collaboration** ,for example fostering group problem solving and solution creation with business and technical team members.
+ **Relationship management** , for example creating relationships and builds trust with internal and external stakeholders quickly.
+ **Storytelling** , for example by creating a consistent, clear storyline for better understanding.
+ **Influencing** , for example by asserting ideas and persuading others to gain support across an organization or to adopt new behaviors.
**Domain skills**
Must have a good understanding of the business process and associated data:
+ **Business Acumen** , for example understanding business concepts, practices and business domain language to engage in problem solving sessions and discuss business issues in stakeholder language. Relevant experience in Data and Analytics CPG or FMCG is preferred.
+ **Business Process Transformation** , for example ability to understand how D&A can help redesign the way work is done.
+ **Business data,** Nielsen/Circanaor other EPOS/Retail Sales data source; Kantar/GFK or other household panel source.
**Other skills**
+ **Agility,** **G** **rowth mindset** **will be crucial.**
+ **Project management capabilities including ability to manage risks** , for example understanding of project management concepts to organize their own work and the ability to collaborate with project managers to align business expectations with the D&A team delivery capabilities.
+ **Vendor negotiation and effort estimation skills,** for example to manage the right partner skills at right cost based on the complexity and importance of the initiatives to be delivered or supported.
+ **Business case development** , for example to help develop support for the experimenting selected use cases or measure the impact/business value created. For this the role can collaborate with business analysts in sales, marketing, RGM, finance or supply chain.
+ **Decision modelling** , for example, supports decision makers and improves complicated decisions that involve trade-offs among alternative courses of action by using decision-problem models.
+ **UX/d** **esign** , for example by creating products and visualizations that are easy to work with and support the activities required by the endusers.
Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy
**Business Unit Summary**
**At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.**
**We have a rich portfolio of strong brands globally and locally including many household names such as** **_Oreo_** **,** **_belVita_** **and** **_LU_** **biscuits;** **_Cadbury Dairy Milk_** **,** **_Milka_** **and** **_Toblerone_** **chocolate;** **_Sour Patch Kids_** **candy and** **_Trident_** **gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.**
**Our 80,000 makers and bakers are located in more** **than 80 countries** **and we sell our products in** **over 150 countries** **around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast.**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Job Type**
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
Data Analytics Lead
Posted today
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Job Description
Position : Practice Lead - Data & Analytics
Location: Mahape Mumbai
Employment Type: Full-Time
Experience Level: Senior (8-10 years)
Job Summary
As the Practice Lead Data & Analytics, you will lead the development, implementation, and growth of data strategy and analytics solutions across client engagements. This is a strategic leadership role requiring a mix of technical expertise, people management, solution development, client engagements, innovation initiatives, and Leadership
Key Responsibilities
- Develop and execute the strategic roadmap for the Data & Analytics and AI/ML practice
- Lead data consulting and delivery engagements, including data platform implementations, BI/reporting solutions, and advanced analytics (Predictive analytics, NLP, computer vision, generative AI)
- Build and manage a high-performing team of data engineers, analysts, architects, and data scientists
- Guide clients through data modernization, cloud migration, governance, and analytics initiatives
- Define delivery methodologies, standards, frameworks, and best practices
- Collaborate with sales/pre-sales teams to craft winning proposals and provide solution architecture support
- Stay updated on the latest trends in big data, AI/ML, cloud analytics, and data governance
- Establish partnerships with technology vendors (e.g., Microsoft, AWS, Snowflake, Databricks)
- Lead capability building, mentoring, and internal knowledge development within the practice
Required Qualifications
- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field
- 8+ years of experience in data and analytics, with at least 3 years in a leadership role
- Proven track record of managing large-scale data projects, teams, and client relationships
- Expertise in data warehousing, ETL, big data platforms, cloud analytics (AWS, Azure, or GCP), and modern BI tools (Power BI, Tableau, etc.)
- Strong understanding of data governance, data quality, metadata management, and compliance
- Hands-on experience with Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc.)
- Experience with MLOps, model lifecycle management, and cloud-based ML platforms
- Proven track record of leading AI projects from ideation to production deployment
- Excellent communication, stakeholder engagement, and team-building skills
Preferred Skills
- Experience in data science or machine learning (Python, R, ML pipelines)
- Hands-on knowledge of modern data platforms (Snowflake, Databricks, Synapse, BigQuery, etc.) and Generative AI (LLMs, diffusion models, prompt engineering)
- Familiarity with industry-specific data models (e.g., healthcare, BFSI, retail) and ethical AI principles, fairness, and explainability (XAI)
- Certifications in Azure Data, AWS Big Data, Google Cloud Professional Data Engineer, etc. including AI/ML tracks
- Experience working in consulting, R&D, or product-focused AI environments
- Publications, patents, or participation in open-source AI/ML projects
Data Analytics Trainer
Posted today
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Job Description
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).
- 10+ years of hands-on experience in Data Science, Data Analytics
- Excellent communication, presentation, and interpersonal skills.
- Ability to explain complex technical concepts clearly and concisely.
- Strong problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- 7 hours per day
Please send resumes to
Job Types: Contractual / Temporary, Freelance
Pay: ₹4, ₹5,000.00 per day
Work Location: In person
AVP - Data Analytics
Posted today
Job Viewed
Job Description
HDFC ERGO General Insurance is hiring for a AVP - Data Analytics at Mumbai - Bhandup location
- Key Responsibilities :
Apply predictive modeling and machine learning to improve underwriting, claims, and customer segmentation.
Conduct experience analysis, trend studies, and portfolio monitoring.
Implement new AI/ML models for deeper and faster analytics.
Collaborate with respective stakeholders to align the analytical outcomes with business goals.
Participate in strategic planning and forecasting exercises.
Contribute to risk assessment, stress testing, and capital modeling initiatives.
Use analytical tools for model development and automation.
Work with data engineering teams to ensure robust data pipelines and infrastructure for end-end analysis.
Experience -
• 6- 8 years of Data analytics experience in Insurance or Financial services.
Skills -
• Strong understanding of actuarial principles, statistical modeling, and data analytics.
• Proficiency in Python, R, SQL, Excel, and actuarial software tools like Prophet, Emblem, ResQ.
• Strong understanding of predictive analytics & statistical techniques, data visualization tools.
If this sounds interesting to you or someone you know, please reach out to me at
, .
Lead Data Analytics
Posted today
Job Viewed
Job Description
Position - Lead Data & Analytics
Location : Navi Mumbai (WFO)
Experience - 8+ Years
Job Summary : As the Practice Lead Data & Analytics, you will lead the development, implementation, and growth of data strategy and analytics solutions across client engagements. This is a strategic leadership role requiring a mix of technical expertise, people management, solution development, client engagements, innovation initiatives, and Leadership.
Key Responsibilities:
- Develop and execute the strategic roadmap for the Data & Analytics and AI/ML practice
- Lead data consulting and delivery engagements, including data platform implementations, BI/reporting solutions, and advanced analytics (Predictive analytics, NLP, computer vision, generative AI)
- Build and manage a high-performing team of data engineers, analysts, architects, and data scientists
- Guide clients through data modernization, cloud migration, governance, and analytics initiatives
- Define delivery methodologies, standards, frameworks, and best practices
- Collaborate with sales/pre-sales teams to craft winning proposals and provide solution architecture support
- Stay updated on the latest trends in big data, AI/ML, cloud analytics, and data governance
- Establish partnerships with technology vendors (e.g., Microsoft, AWS, Snowflake, Databricks)
Lead capability building, mentoring, and internal knowledge development within the practice
Required Qualifications
- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field
- 8+ years of experience in data and analytics, with at least 3 years in a leadership role
- Proven track record of managing large-scale data projects, teams, and client relationships
- Expertise in data warehousing, ETL, big data platforms, cloud analytics (AWS, Azure, or GCP), and modern BI tools (Power BI, Tableau, etc.)
- Strong understanding of data governance, data quality, metadata management, and compliance
- Hands-on experience with Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc.)
- Experience with MLOps, model lifecycle management, and cloud-based ML platforms
- Proven track record of leading AI projects from ideation to production deployment
- Excellent communication, stakeholder engagement, and team-building skills
Preferred Skills
- Experience in data science or machine learning (Python, R, ML pipelines)
- Hands-on knowledge of modern data platforms (Snowflake, Databricks, Synapse, BigQuery, etc.) and Generative AI (LLMs, diffusion models, prompt engineering)
- Familiarity with industry-specific data models (e.g., healthcare, BFSI, retail) and ethical AI principles, fairness, and explainability (XAI)
- Certifications in Azure Data, AWS Big Data, Google Cloud Professional Data Engineer, etc. including AI/ML tracks
- Experience working in consulting, R&D, or product-focused AI environments
- Publications, patents, or participation in open-source AI/ML projects
Thanks & Regards
Chetna Gidde |
HR Associate-Talent Acquisition |
|
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Analyst (Data Analytics)
Posted today
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Title: Analyst (Data Analytics)
Location: Mumbai, India
Shift Timing: 8:00 PM 5:00 AM IST
Overview
We are a trusted global provider of business and knowledge solutions to leading corporations and professional services firms. With a workforce spread across multiple continents, we deliver multilingual, 24/7 support through onshore, offshore, and onsite delivery models. Our focus is to help clients achieve operational efficiency while ensuring the highest standards of confidentiality and quality.
SummaryWe are looking for a detail-oriented Analyst L1 to join our Global Operations team in Mumbai. The role involves reporting, dashboard creation, ad-hoc analysis, and automation of manual processes. The right candidate will be highly skilled in MS Excel and data analytics, with strong analytical and problem-solving skills, and the ability to thrive in a global work environment.
Key Responsibilities
- Prepare, analyze, and publish weekly/monthly dashboards and reports.
- Track utilization, revenue, and other performance metrics accurately.
- Identify manual processes and automate reports to improve efficiency.
- Deliver ad-hoc reports and insights for management.
- Ensure timely and accurate delivery of all reports.
- Collaborate with global teams and share best practices.
- Maintain confidentiality of organizational and client data.
Required Skills & Competencies
- Strong expertise in MS Excel and data analytics.
- Knowledge of utilization and revenue calculation.
- Proficiency in MS Office (Word, Excel, PowerPoint).
- Excellent verbal and written communication skills.
- Logical thinker with strong decision-making ability.
- Self-motivated, disciplined, and detail oriented.
- Flexible to work in rotating shifts.
- Quick learner, adaptable to process changes.
Education & Experience
- Graduate in any discipline.
- 13 years experience in data analytics, reporting, or database management.
What is in it for you?
- Competitive Compensation: A salary package that reflects your skills and experience.
- Professional Growth: Access to training, certifications, and opportunities to learn cutting-edge technologies.
- Inclusive Culture: A welcoming workplace where diversity and inclusivity are at the forefront of our values.
- Wellness Benefits: Comprehensive healthcare plans paid time off, mental health support, and wellness initiatives.
- Collaborative Environment: Join a team of innovative, forward-thinking professionals who are enthusiastic about solving challenging problems.
- Impactful Work: Contribute to meaningful projects that drive business transformation and create value for our customers.
If youre ready to take the next step in your career and make an impact in a fast-paced and inclusive environment, wed love to hear from you
Apply Now: To apply, send your CV to
Keywords: #AnalystJobs #DataAnalytics #DataAnalyst #MISReporting #MISAnalyst #ExcelExpert #AdvancedExcel #MicrosoftExcel #MSExcel #MSOffice #MicrosoftOffice #MSWord #MicrosoftWord #MSPowerPoint #MicrosoftPowerPoint #PowerBI #MSAccess #MicrosoftAccess #MSOutlook #MicrosoftOutlook #ExcelDashboards #ExcelVBA #ExcelAutomation #ExcelFormulas #PivotTables #VLOOKUP #HLOOKUP #PowerQuery #DataVisualization #DashboardDeveloper #DataReporting #BusinessAnalyst #ReportingAnalyst #OperationsAnalyst #RevenueAnalysis #UtilizationTracking #ProcessAutomation #AdhocReports #GlobalOperations #NightShiftJobs #MumbaiJobs #HiringNow #JobSearchIndia #AnalystCareer
We are an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, disability status, or any other characteristic protected by law.
Collection Data Analytics
Posted today
Job Viewed
Job Description
About Us:
Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.
Technical skills
: Sql + Python/ R/ Tableau preferred.
Collections Daily BAU's -
1.
Daily allocations to the collection team.
2.
Daily
MIS
Reporting
3.
Monthly MIS reporting.
4.
DRR tracking of FTE, TC, Field and Agency
5.
Development of new reports as per the requirements and increase the usability of new and existing reports
6.
Automation and Enhancement of MIS reports
7.
Publishing weekly, monthly MIS and PPTs to stakeholders and regional team
Collection Analytics -
1.
Develop a Collections Strategy document encompassing all collections related activities in the Bank and ensure that the processes are followed as laid out in the document
2.
Analyzing the data and Implementing different collection strategies with DCA
3.
Regular improvement in processes / strategies
4.
Develop and implement advanced analytics approaches including statistical modelling
5.
Analyze big data (structured and unstructured) and understand trends to provide actionable insights that impact business bottom line.
6.
Break down the Loss forecasts into collections roll rates and recovery rates
7.
Track Account-to-Collection Ratios (ACR) by bucket to optimize collections performance
8.
Segmentation analysis has to be conducted using analytical tools and strategies for each segment have to be deployed across buckets.
9.
Devise Champion Challenger programs showing Cost Vs Benefit analysis driving higher resolution rates across products and buckets
10.
Analyzing data: Performing quantitative and qualitative analysis on accounts.
11.
Developing strategies: Developing collection strategies based on insights from stakeholders.
12.
Implementing strategies: Working with the collection strategy support unit to implement and control the execution of strategies.
13.
Improving processes: Automating processes, data, and models to improve productivity.
14.
Forecasting losses: Increasing the accuracy of loss-forecasting strategies.
15.
Segmenting customers: Developing more effective contact strategies by segmenting customers, including behavioral segmentation.
16.
Meeting regulatory requirements: Applying individualized collection strategies to meet regulatory requirements.
Why Join Us:
1. A collaborative output driven program that brings cohesiveness across businesses through technology
2. Improve the average revenue per use by increasing the cross-sell opportunities
3. A solid 360 feedback from your peer teams on your support of their goals
4. Respect, that is earned, not demanded from your peers and manager
Compensation
:
If you are the right fit, we believe in creating wealth for you
With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India's largest digital lending story is brewing here. It's your opportunity to be a part of the story
Data Analytics Internship
Posted today
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Job Description
Job Title: Data Analytics Intern
Location: Andheri (E) On-site
Duration: 6 months
Stipend: 5000 Per Month & Certificate of Internship
About Us
Pannest Integrated Services Private Limited formed in 2012 with the motive to provide logistics services on a domestic level. We provide end-to-end logistic solutions in pan India & we offer regional and national level distribution via surface air and rail.
Role Overview
We are seeking a motivated and detail-oriented Data Analytics Intern to join our team. This internship offers hands-on experience in data collection, cleaning, visualization, and analysis. The intern will work closely with our analytics and business teams to transform raw data into actionable insights that support decision-making and business growth.
Key Responsibilities
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Create dashboards and reports using tools like Excel, Power BI, or Tableau.
- Support the development of data models and predictive analytics solutions.
- Work with stakeholders to understand data requirements and deliver insights.
- Document processes and present findings to team members.
Qualifications & Skills
- Recently completed a degree in Data Analytics, Statistics, Computer Science, Mathematics, Economics, or a related field.
- Strong analytical and problem-solving skills.
- Proficiency in MS Excel; familiarity with SQL and Python/R is a plus.
- Knowledge of data visualization tools such as Power BI, Tableau, or Google Data Studio.
- Attention to detail and eagerness to learn new technologies.
What We Offer
- Hands-on exposure to real-world data analytics projects.
- Mentorship from experienced professionals in the field.
- Opportunity to work in a collaborative and dynamic environment.
- Certificate of Internship and potential for future career opportunities.
Job Type: Internship
Contract length: 06 months
Pay: ₹1, ₹5,000.00 per month
Work Location: In person