Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.

MANDATORY CRITERIA:

- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.

- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.

- Candidate must have strong hands-on experience in Product + Data Analysis + Python.

- Candidate should have Python skill on the scale of 3/5 at least.

- Proficiency in SQL and ability to work with large datasets.

- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.

- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).

- Candidate must have experienece in Jira.

- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.

OVERVIEW:

As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.

WHAT YOU WILL DO?

● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

● Performing competitive benchmarking and industry research to support product strategy and prioritization.

● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.

● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

WHAT WE ARE LOOKING FOR?

● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

● Strong analytical, quantitative, and problem-solving skills.

● Proficiency in SQL and ability to work with large datasets.

● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.

● Ability to work collaboratively in cross-functional teams.

● Passion for product, user behavior, and data-driven decision-making

● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

● Understanding of product management concepts and tools (Jira, Confluence, etc.).

● Knowledge of Python or R for data analysis (optional but beneficial).

● Exposure to consumer tech, mobility, travel, or marketplaces.

Responsibilities

> Selecting features, building and optimizing classifiers using machine

> learning techniques

> Data mining using state-of-the-art methods

> Extending company’s data with third party sources of information when

> needed

> Enhancing data collection procedures to include information that is

> relevant for building analytic systems

> Processing, cleansing, and verifying the integrity of data used for

> analysis

> Doing ad-hoc analysis and presenting results in a clear manner

> Creating automated anomaly detection systems and constant tracking of

> its performance

Key Skills

> Hands-on experience of analysis tools like R, Advance Python

> Must Have Knowledge of statistical techniques and machine learning

> algorithms

> Artificial Intelligence

> Understanding of Text analysis- Natural Language processing (NLP)

> Knowledge on Google Cloud Platform

> Advanced Excel, PowerPoint skills

> Advanced communication (written and oral) and strong interpersonal

> skills

> Ability to work cross-culturally

> Good to have Deep Learning

> VBA and visualization tools like Tableau, PowerBI, Qliksense, Qlikview

> will be an added advantage

Power BI Engineer 

Company Overview: 

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. 

We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. 

What we're looking for :

• You should have strong technical and analytical skill with more in SQL Server, reporting tools like Tableau, Power BI, SSRS and .Net. 
• You have experience in OLAP, UI/UX and Dashboard building.
• You should have experience for proper understanding of the project deliverables. 
• You should possess excellent communication skills. 

• You will be responsible for the respective tasks assigned in the project. 
• You will be responsible for the deliverable with proper quality, in planned time and cost adhering to the industry standards that will be defined for the project. 
• You will be involved in client interaction. 

What you need to have:

Roles and responsibilities:

1. Responsible for development and maintenance of applications with technologies involving Enterprise Java and Distributed  technologies.
2. Experience in Hadoop, Kafka, Spark, Elastic Search, SQL, Kibana, Python, experience w/ machine learning and Analytics     etc.
3. Collaborate with developers, product manager, business analysts and business users in conceptualizing, estimating and developing new software applications and enhancements..
4. Collaborate with QA team to define test cases, metrics, and resolve questions about test results.
5. Assist in the design and implementation process for new products, research and create POC for possible solutions.
6. Develop components based on business and/or application requirements
7. Create unit tests in accordance with team policies & procedures
8. Advise, and mentor team members in specialized technical areas as well as fulfill administrative duties as defined by support process
9. Work with cross-functional teams during crisis to address and resolve complex incidents and problems in addition to assessment, analysis, and resolution of cross-functional issues.