Analytics Lead / Analytics Manager
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Job Description: Analytics Lead / Analytics Manager
Zenon Analytics is a global boutique consulting firm and a leading AI partner for Fortune 500 firms. We partner with clients across the globe to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises using advanced analytics.
In a nutshell:
An Analytics Lead / Analytics Manager at Zenon Analytics takes the lead for analytics delivery on client projects. He/She works closely with the client to design, develop and implement cutting-edge analytics solutions for a variety of business problems. They are responsible for overall management of the analytics workstreams within the project, including managing the project team and their deliverables. They are also responsible for overall client stakeholder management and communications.
The role of an Analytics Lead / Analytics Manager is a critical one at Zenon; we only consider candidates with strong academic and work credentials and a track record of innovative and successful applied analytics projects.
What will you do?
• Engage with clients to understand their business needs from an analytical standpoint and accordingly define the problem statement(s) to focus on.
• Design, develop, and deploy state-of-the-art, data-driven predictive models to solve business problems using the latest and most appropriate technologies in machine learning, statistical modelling and Operations Research.
• Deliver value in the marketplace by supporting teams serving clients and/or leading key research initiatives.
• Responsibilities include development of analytic solutions; pattern identification and feature extraction, variable selection; experimentation with algorithms, performance analysis and preparation for communication with internal and external clients, and training and development of junior analytics staff.
• Work will require effective coordination of global analytics and consulting team members. Some travel may be required to client locations.
• Contribute analytical thought leadership to assist on Business Development proposals.
What are we looking for?
• 6-9 years of experience and degree (B.Tech/M.Tech/MS/PhD or equivalent) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.) from top tier academic institutions
• Strong communication skills
• Experience in managing global analytics teams in multiple locations is preferred
• Track record of analytical product development, innovation, or research (patents or publications) would be a plus
Data science expertise -
• Python / R programming
• Have worked on semi-supervised problems
• Worked on NLP unstructured data / semi structured data
• Have prior experience in pre-trained models, like BERT, Glove,
• Worked on Neural Network, with experience in Tensor Flow, PyTorch
• Model development using RNN, CNN, LSTM
• Machine learning model development, hands on experience in Random Forest, XGboost, SVM etc
• Experience in unsupervised learning and optimisation
• Experience in model performance tuning
• Experience in Model governance and deployment
Good to have experience
• Financial services or Healthcare industry experience will be a plus
• Experience in UiPath AI Fabric
• Worked on Cloud AWS
• Experience in bigdata hadoop
• PySpark exposure
• Exposure to Transfer learning
Data Analytics
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Job Summary:
We are seeking a highly motivated and detail-oriented Data Analyst with 3 to 6 years of experience in data analytics and business intelligence. The ideal candidate will possess strong analytical capabilities, hands-on experience with large data sets, proficiency in SQL and Python, and expertise in data visualization tools such as Power BI and Tableau. This role demands strong statistical acumen, familiarity with research methodologies, and the ability to derive actionable insights through both quantitative and qualitative analysis.
Requirements
Key Responsibilities:
Extract, clean, and analyze large datasets using SQL, Python, and other analytics tools.
Design and develop dashboards, reports, and data visualizations using Power BI and Tableau to support strategic decision-making.
Conduct exploratory data analysis, statistical modeling, and root cause investigations to identify trends, patterns, and business insights.
Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver analytical solutions.
Apply basic statistical techniques and use tools such as R, T/Stata, or equivalent to support business and research initiatives.
Prepare and present findings and recommendations to stakeholders using MS PowerPoint and other communication tools.
Document analytical methodologies, data workflows, and project outcomes in a structured and comprehensible format.
Required Skills and Qualifications:
Bachelor’s degree in computer science, Information Technology, Mathematics, Statistics, Economics, or a related field (B.Tech/B.E. or B.Sc./BA).
Postgraduate qualifications in relevant fields will be an added advantage.
3 to <6 years of experience in data analytics or a related discipline.
High-level proficiency in:
SQL and similar tools for querying and handling large datasets.
Python or equivalent programming language for data manipulation and automation.
Business Intelligence tools such as Power BI and Tableau.
MS Office tools including Excel (advanced), Word, and PowerPoint.
Basic statistics and research tools (R, T/Stata, etc.).
Strong problem-solving abilities with a solid understanding of both qualitative and quantitative analytics.
Ability to manage multiple projects simultaneously and communicate effectively with both technical and non-technical stakeholders.
Benefits
We’re hiring for one of the world’s leading professional services organizations — part of the prestigious “Big 4” — known for setting global standards in consulting, advisory, audit, risk, tax, and technology services.
This firm works with some of the biggest brands and governments worldwide, helping them solve complex challenges, drive innovation, and build sustainable futures.
If you’re passionate about working in a fast-paced environment, love solving problems, and are excited about learning from the best minds in the industry, this is your opportunity.
Join a culture that values collaboration, continuous growth, diversity, and making a real-world impact across industries.
Analytics Engineer
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We’re hiring a hands-on Data Analyst to turn business questions into reliable datasets, clear visuals, and automated workflows. You’ll build and maintain Power BI dashboards, shape data models, and orchestrate pipelines using Microsoft Fabric. You’ll also own Make.com automation for API-based data acquisition and notifications, perform web scraping (ethically and compliantly), and write Python to automate, cleanse, and enrich data. The ideal candidate is equal parts analyst and problem-solver, comfortable moving from stakeholder requirements to production-grade dashboards and automations.
What You’ll Do
Business Intelligence & Visualization
Build, iterate, and maintain Power BI dashboards; design robust data models (Power Query, DAX), optimize performance, and manage Row-Level Security (RLS).
Translate stakeholder requirements into insightful visuals and clear data stories; support production refreshes and user inquiries.
Data Engineering with Power BI & Fabric
Use Microsoft Fabric (e.g., Dataflows Gen2/Lakehouse/Pipelines) or Gen1 Power BI dataflows to build reliable ETL/ELT processes and refresh schedules.
Query and validate data with SQL (plus KQL/PySpark where applicable for larger or log-style datasets).
Automation with Make.com & Power Automate
Design, build, and maintain Make.com scenarios (HTTP modules, routers, iterators, data stores) to integrate third‑party REST APIs, webhooks, and internal systems; implement scheduling, logging, alerting, retries, and error handling.
Use Power Automate for complementary internal workflow automation and notifications.
API Integration & Data Acquisition
Connect to external services via REST/Graph APIs (OAuth/API keys), handle pagination and rate limits, and ingest JSON into curated datasets for BI and analytics.
Configure inbound/outbound webhooks between Make.com, Monday.com, and other tools to streamline processes.
Web Scraping
Build targeted scrapers (Make.com HTTP + parsing or Python with requests/beautifulsoup4/playwright/scrapy) to collect publicly available data.
Python for Analytics & Ops
Write production‑minded Python for data cleaning, reconciliation, and transformations (e.g., pandas); package repeatable scripts, add unit tests where practical, and schedule jobs via Fabric or Make.com.
Platform & Stakeholder Support
Provide first‑line support for BI dashboards, dataset refreshes, and workflow issues; help administer Monday.com (permissions, simple automations, troubleshooting).
Document data models, metrics, pipelines, and scenarios; champion data quality and governance.
What You’ll Bring
Required Qualifications
Bachelor’s degree in Computer Science (or equivalent experience).
2–5 years in data analytics/BI with hands‑on Power BI (data modeling, DAX, refreshes, RLS).
Practical experience building automations in Make.com (or similar: Power Automate/Zapier/n8n), integrating REST APIs and webhooks.
Python skills for ETL/automation/scraping (e.g., pandas, requests, bs4, playwright/scrapy).
Working SQL proficiency; familiarity with Microsoft Fabric concepts and ETL in Power Query.
Strong troubleshooting, communication, and stakeholder support skills (especially for dashboards and Monday.com workflows).
Preferred Qualifications
Experience with KQL (Kusto) or PySpark; Azure Data Factory; integrating data via REST APIs into Power BI.
Exposure to Copilot in Fabric or Azure OpenAI to accelerate BI workflows.
Certifications: PL‑300 (Power BI Data Analyst), DP‑600 (Fabric Analytics Engineer), AI‑900 (Azure AI Fundamentals).
Monday.com administration experience; understanding of access controls and basic governance.
Analytics - Intern
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Intern – Data Analytics
About bluCognition:
bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionalsfrom the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune. We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world.
Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey.
Position: Intern - Analytics
What will your role involve?
Delivering risk and/or analytic solutions in the financial services industry
Working with stakeholders across product management, data science, and engineering and driving implementation of risk and data analytic strategies
Managing challenging time constraints and ensuring on-time delivery of projects
Developing and generating management reports for portfolio monitoring
Collecting data, analysing, and identifying key differentiating indicators for segmentation and for driving effective risk mitigation and/or marketing strategies.
Working closely with partner teams in identifying, evaluating, and recommending new data that helps in overall risk and marketing strategies.
Analyzing portfolio trends and simulating risk and marketing strategies
Working closely with data science team on model building and deployment
Building scorecards that leverage both internal performance data and external performance data
Performing analysis, developing strategies and crafting presentations that help articulate strategy for the leadership team.
To help us level up, you will ideally have:
A quantitative background in engineering, statistics, math or economics or related disciplines.
Knowledge of database query language (e.g. SQL) and developer tools such as Python, R , databricks in a finance or analytics field.
Prior model building experience is a plus but not critical.
An analytical mindset and strong problem-solving skills, attention to detail and ability to multitask.
The ability to work in a fast-paced environment and to deal with ambiguity.
Strong communication, interpersonal and presentation skills; ability to engage and collaborate with multiple stakeholders across teams.
Analytics Consultant
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Nupanch is an analytics consulting company. We cater to a specific niche - small/medium e-commerce companies on a fast growth trajectory, primarily based in the US. Our customers truly care for what they sell. As an extension of their teams, we support them by helping them make good decisions. We implement robust, scalable data architectures that enable self-serve analytics.
This position involves a) understanding the business use cases for data, b) translating those into a star-schema data warehouse model on BigQuery / Snowflake using dbt and c) designing and delivering effective visualizations that provide actionable insights.
This position requires the below core skills:
- Advanced SQL competency using data warehouses like Google BigQuery and Snowflake
- At least 2 years experience with data warehouse modeling i.e. building star schemas
- At least 2 years experience with dbt (data build tool)
- At least 2 years experience working with e-commerce data
The ideal total experience level for this position is 4-6 years.
Analytics engineer
Posted 5 days ago
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We’re hiring a hands-on Data Analyst to turn business questions into reliable datasets, clear visuals, and automated workflows. You’ll build and maintain Power BI dashboards, shape data models, and orchestrate pipelines using Microsoft Fabric. You’ll also own Make.com automation for API-based data acquisition and notifications, perform web scraping (ethically and compliantly), and write Python to automate, cleanse, and enrich data. The ideal candidate is equal parts analyst and problem-solver, comfortable moving from stakeholder requirements to production-grade dashboards and automations.
What You’ll Do
Business Intelligence & Visualization
Build, iterate, and maintain Power BI dashboards; design robust data models (Power Query, DAX), optimize performance, and manage Row-Level Security (RLS).
Translate stakeholder requirements into insightful visuals and clear data stories; support production refreshes and user inquiries.
Data Engineering with Power BI & Fabric
Use Microsoft Fabric (e.g., Dataflows Gen2/Lakehouse/Pipelines) or Gen1 Power BI dataflows to build reliable ETL/ELT processes and refresh schedules.
Query and validate data with SQL (plus KQL/Py Spark where applicable for larger or log-style datasets).
Automation with Make.com & Power Automate
Design, build, and maintain Make.com scenarios (HTTP modules, routers, iterators, data stores) to integrate third‑party REST APIs, webhooks, and internal systems; implement scheduling, logging, alerting, retries, and error handling.
Use Power Automate for complementary internal workflow automation and notifications.
API Integration & Data Acquisition
Connect to external services via REST/Graph APIs (OAuth/API keys), handle pagination and rate limits, and ingest JSON into curated datasets for BI and analytics.
Configure inbound/outbound webhooks between Make.com, Monday.com, and other tools to streamline processes.
Web Scraping
Build targeted scrapers (Make.com HTTP + parsing or Python with requests/beautifulsoup4/playwright/scrapy) to collect publicly available data.
Python for Analytics & Ops
Write production‑minded Python for data cleaning, reconciliation, and transformations (e.g., pandas); package repeatable scripts, add unit tests where practical, and schedule jobs via Fabric or Make.com.
Platform & Stakeholder Support
Provide first‑line support for BI dashboards, dataset refreshes, and workflow issues; help administer Monday.com (permissions, simple automations, troubleshooting).
Document data models, metrics, pipelines, and scenarios; champion data quality and governance.
What You’ll Bring
Required Qualifications
Bachelor’s degree in Computer Science (or equivalent experience).
2–5 years in data analytics/BI with hands‑on Power BI (data modeling, DAX, refreshes, RLS).
Practical experience building automations in Make.com (or similar: Power Automate/Zapier/n8n), integrating REST APIs and webhooks.
Python skills for ETL/automation/scraping (e.g., pandas, requests, bs4, playwright/scrapy).
Working SQL proficiency; familiarity with Microsoft Fabric concepts and ETL in Power Query.
Strong troubleshooting, communication, and stakeholder support skills (especially for dashboards and Monday.com workflows).
Preferred Qualifications
Experience with KQL (Kusto) or Py Spark; Azure Data Factory; integrating data via REST APIs into Power BI.
Exposure to Copilot in Fabric or Azure Open AI to accelerate BI workflows.
Certifications: PL‑300 (Power BI Data Analyst), DP‑600 (Fabric Analytics Engineer), AI‑900 (Azure AI Fundamentals).
Monday.com administration experience; understanding of access controls and basic governance.
Analytics Architect
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• AWS Certifications
• Experience leading and working as part of a team in an agile methodology
• Some development experience, using Java, Scala, or Kotlin stack (Spring Boot, Microprofile, J2EE, Micronaut.)
• Experience using AWS to design/create/deploy to cloud solutions
• AWS / Google Cloud Platform / Azure / IBM Cloud experience
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Data Analytics Trainee
Posted 18 days ago
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Data Analytics Instructor
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Why Join Us?
We’re looking for highly skilled, passionate, and motivated individuals who are excited
about shaping the next generation of data professionals. Here’s why you should
consider joining our team:
1. Empower Future Talent – Play a key role in transforming lives by teaching real world data skills.
2. Growth & Recognition – Fast-track your career in a rapidly growing ed-tech
startup with leadership opportunities.
3. Innovative Work Culture – Thrive in a dynamic, collaborative, and flexible work
environment that values creativity and ownership.
4. Be a Part-Owner of the Company – ESOPs offered on performance based as a
loyalty benefit.
5. Make Real Impact – Your contribution directly affects learners’ career success.
What You’ll Do
As a Data Analytics Instructor at SkilloVilla, you will be instrumental in delivering
cutting-edge, industry-relevant training to aspiring data professionals. Your core
responsibilities will include:
1. Training Delivery – Deliver structured, interactive, and engaging training
sessions tailored to varying learner levels – from beginners to advanced.
2. Content Development – Develop content through research to create up-todate, comprehensive, and practical training materials and resources.
3. Project-Based Learning – Guide students through real-world data analytics
projects covering topics such as data analysis, machine learning, statistical
modeling, and data visualization.
4. Mentorship & Support – Provide personalized guidance, resolve student
queries, and support learners through challenges in their educational and career
journey.
5. Interactive Learning – Create a collaborative, problem-solving learning
environment that encourages active participation and critical thinking.
6. Assessment & Feedback – Evaluate student progress through quizzes,
assignments, and hands-on projects while offering constructive feedback.
7. Placement Support – Offer interview preparation, resume reviews, and career
guidance to help learners secure job placements.
8. Training Content Management – Manage training assets including session
presentations, assignments, quizzes, and other learning materials.
What You’ll Need
We’re looking for someone who combines strong technical expertise with a passion for
teaching and mentoring. The ideal candidate should possess:
1. Training Expertise – Proven experience delivering training in Tableau, Excel, SQL,
Python, Statistics, and Power BI.
2. Technical Proficiency – Strong knowledge of data tools and libraries like
Pandas, NumPy, Scikit-learn, and TensorFlow. Familiarity with Machine Learning,
Big Data, and BI tools.
3. Analytical Thinking – Ability to interpret large datasets, identify insights, and
perform data-driven decision-making. Skilled in statistical analysis and model
building.
4. Teaching & Mentorship Skills – Passion for education with the ability to explain
complex concepts in a simple and engaging manner.
5. Communication Skills – Ability to deliver training in English, with excellent
verbal and written communication skills to convey complex ideas clearly to
diverse learners.
6. Up-to-Date Knowledge – Awareness of current trends, tools, and best practices
in the field of data analytics.
7. Engaging Delivery Style – Ability to make learning enjoyable and effective
through interactivity and real-world examples.
Compensation
• Position Type : Full-Time
• Salary : As per industry standards and experience
• ESOPs : Offered on performance based as part of loyalty benefits
Perks & Benefits
1. Impact-Driven Role – Help students launch high-paying careers in data
analytics.
2. Work with Leadership – Collaborate directly with industry leaders and the
founding team.
3. Career Growth – Opportunity to grow into leadership or curriculum design roles.
4. Learning Environment – Continuous learning through internal training and
knowledge-sharing sessions.
About SkilloVilla
SkilloVilla is on a mission to bridge the gap between education and employment by
empowering graduates with industry-relevant skills. We focus on real-world job
requirements, enabling learners to secure high-paying jobs and fast-track their careers.
Our platform includes upskilling programs, resume support, mock interviews, and
placement opportunities with top-tier companies.
Our Founding Team
• Ronak Agrawal (CEO): IIT Delhi, Ex-Business Head, Cuemath
• Rajat Agrawal (CTO): IIIT Hyderabad, Ex-Tech Lead, Swiggy
• Deepak Kharol (COO): IIT Delhi, Ex-Sr. Growth Manager, Swiggy
Our Culture
1. Innovators at Heart – We constantly explore new ways to solve real problems.
2. Fast Executioners – We move quickly and efficiently in everything we do.
3. Ownership Mindset – Every individual owns their outcomes and drives impact.
4. Customer-Centric Approach – Learners are at the core of every decision we
make.
5. Open & Fun Work Environment – We value transparency, collaboration, and a
youthful vibe.
Ready to inspire future data professionals and make a lasting impact? Join
SkilloVilla and be a part of the change!
Forensic Data Analytics
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• Ability to successfully multitask while working independently or within a group environment
• Ability to encourage a team environment on engagements
• Ability to work in a deadline-driven environment and handle multiple projects simultaneously
• Ability to interact effectively with people at all organizational levels of the Firm
• Capacity to build and maintain strong relationships with internal and client personnel
• Ability to act as the primary contact on assigned engagements