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Description :

Experience : 3+ Years

Job Type : Full-time

Location : Sion, Mumbai (On-site)

Also Apply at : https://wohlig.keka.com/careers/jobdetails/122580

The Opportunity :

We are a global technology consultancy driving large-scale digital transformations for the Fortune 500. As a strategic partner to Google, we help enterprise clients navigate complex data landscapes migrating legacy systems to the cloud, optimizing costs, and turning raw data into executive-level insights.

We are seeking a Data Analyst who acts less like a technician and more like a Data Consultant. You will blend deep technical expertise in SQL and ETL with the soft skills required to tell compelling data stories to non-technical stakeholders.

What You Will Do :

- Strategic Cloud Data Architecture : Lead high-impact data migration projects. You will assess a client's legacy infrastructure and design the logic to move it to the cloud efficiently (focusing on scalability and security).

- Cost and Performance Optimization : Audit and optimize cloud data warehouses (e.g., BigQuery, Snowflake, Redshift). You will use logical reasoning to hunt down inefficiencies, optimize queries, and restructure data models to save clients significant operational costs.

- End-to-End Data Pipelines (ETL/ELT) : Build and maintain robust data pipelines. Whether its streaming or batch processing, you will ensure data flows seamlessly from source to dashboard using modern frameworks.

- Data Storytelling & Visualization : This is critical. You will build dashboards (Looker, Tableau, PowerBI) that don't just show numbers but answer business questions. You must be able to present these findings to C-suite clients with clarity and confidence.

- Advanced Analytics : Apply statistical rigor and logical deduction to solve unstructured business problems (e.g., Why is our user retention dropping?).

What We Are Looking For :

1. Core Competencies :

- Logical Reasoning : You possess a deductive mindset. You can break down ambiguous client problems into solvable technical components without needing hand-holding.

- Advanced SQL Mastery : You are fluent in complex SQL (Window functions, CTEs, stored procedures) and understand how to write query-efficient code for massive datasets.

- Communication Skills : You are an articulate storyteller who can bridge the gap between engineering jargon and business value.

2. Technical Experience :

- Cloud Proficiency : 3+ years of experience working within a major public cloud ecosystem (GCP, AWS, or Azure). Note : While we primarily use Google Cloud (BigQuery, Looker), we value strong architectural fundamentals over specific tool knowledge.

- Data Engineering & ETL : Experience with big data processing tools (e.g., Spark, Apache Beam, Databricks, or cloud-native equivalents).

- Visualization : Proven mastery of at least one enterprise BI tool (Looker, Tableau, PowerBI, Qlik).

Why Join us ?

- Cross-Cloud Exposure : While our current focus is GCP, your foundational skills will be challenged and expanded across various tech stacks.

- Client Impact : You aren't just writing code in a back room; you are the face of our data capability, directly advising clients on how to run their businesses better.

- Growth : We offer a structured career path with sponsorship for cloud certifications (Google Professional Data Engineer, etc.).

 Key Responsibilities

• Design and implement ETL/ELT pipelines using Databricks, PySpark, and AWS Glue
• Develop and maintain scalable data architectures on AWS (S3, EMR, Lambda, Redshift, RDS)
• Perform data wrangling, cleansing, and transformation using Python and SQL
• Collaborate with data scientists to integrate Generative AI models into analytics workflows
• Build dashboards and reports to visualize insights using tools like Power BI or Tableau
• Ensure data quality, governance, and security across all data assets
• Optimize performance of data pipelines and troubleshoot bottlenecks
• Work closely with stakeholders to understand data requirements and deliver actionable insights

🧪 Required Skills

Skill AreaTools & TechnologiesCloud PlatformsAWS (S3, Lambda, Glue, EMR, Redshift)Big DataDatabricks, Apache Spark, PySparkProgrammingPython, SQLData EngineeringETL/ELT, Data Lakes, Data WarehousingAnalyticsData Modeling, Visualization, BI ReportingGen AI IntegrationOpenAI, Hugging Face, LangChain (preferred)DevOps (Bonus)Git, Jenkins, Terraform, Docker

📚 Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, or related field
• 3+ years of experience in data engineering or data analytics
• Hands-on experience with Databricks, PySpark, and AWS
• Familiarity with Generative AI tools and frameworks is a strong plus
• Strong problem-solving and communication skills

🌟 Preferred Traits

• Analytical mindset with attention to detail
• Passion for data and emerging technologies
• Ability to work independently and in cross-functional teams
• Eagerness to learn and adapt in a fast-paced environment

➢ Manage initial discovery calls with customers leads

➢ Understands Customer’s Business and keeping empathetic approach towards customers

➢ Building Trust and Transparency with Customers

➢ Go-getter attitude to close the lead

➢ Creating and delivering impressive presentation/demo to the customer

➢ Managing follow-up activities to ensure customer engagement

➢ Negotiating contracts

➢ Working on guidelines by senior level peer

➢ Gaining know-how expertise in the ERP Business Applications

➢ Preparing RFP/RFI as per the customers’ need

➢ Continuous efforts to achieve sales quotas

➢ Self upgradation through industry study and research

• Binding of UI elements to JavaScript object models
• Creating RESTful services with Node.js
• MERN stack developer must have proven experience in front & back-end development
• Work in a cross-functional team to deliver a complete user experience
• Developer must expertise into MongoDB, Express, Node.js, & React.
• Create Unit and Integration tests to ensure the quality of code
• MERN full stack developer must have the ability to wear many hats and learn new technologies quickly
• Understanding & proficiency in REST APIs.
• MERN stack developer should know Git Repository and Jira.
• Integration of data storage solutions [RDBMS, NoSQL DB]
• Work with development teams and product managers to ideate software solutions
• Develop and manage well-functioning databases and applications
• Test software to ensure responsiveness and efficiency
• Create security and data protection settings
• Write technical documentation
• Work with data scientists and analysts to improve software

Skills Required:

• Must-Have: Java, Spring/spring-boot, Data structure, Algorithm
• Any 2 (Must) out of the below-mentioned list : 

a.     JPA/Hibernate

b.     Messaging queue/Kafka/SQS/distributed message/SNS/JMS

c.     NoSQL/Aerospike/Reddis/Cassandra

d.     Microservices

Roles and Responsibilities:

• Technical design, implementation, deployment, and support.
• Partner with Business Analysts to review and implement business requirements.
• Perform development and unit testing, working closely with Business.
• Mentors and oversees the development of resources, including reviewing designs and performing code reviews.
• Ensure designs are in compliance with specifications
• Contribute to all phases of the development lifecycle
• Developing high-volume, low-latency applications for mission-critical systems and delivering high availability and performance
• Should have experience of working on Core Java/J2EE & OOPS concept
• Should be well versed with Spring/Struts & Apache Camel (OSGI Framework)
• Should have a good understanding of Hibernate and Other ORMs
• Should have an understanding of working on Web Service (SOAP/REST) and Maven
• Build tools such as Jenkins
• Caching Technique(Radis, Hazlecast, Aerospike)
• Database Knowledge - Oracle, MySQL

Headquartered in Bangalore, our client is the world's first cross-border neobank that focuses on credit and banking requirements of those migrating from India to the US. This revolutionary startup helps you apply for a bank account and a high-limit credit card with minimal documentation and absolutely no application fee while you are still in your home country.

The company is truly simplifying the financial world by making global financial products easily accessible to global citizens. Their mission is backed by tier 1 VCs and they have already raised in excess of 55 mn dollars within the last one year.

As a Product Analyst, you will be responsible for synthesizing data to provide actionable insights to the leadership and the product team to influence strategy and growth.

• Providing key data inputs needed for launching the product
• Monitoring the performance of new features and recommending iterations based on your findings
• Defining metrics we need to drive, setting up targets and tracking the progress of our products
• Researching on competition and players across the world to benchmark metrics and set goals
• Conducting customer interviews to understand the customer journey and mapping it to certain patterns we notice in our data
• Analysing root cause and debugging for metric deviations and bugs
• Building dashboards and tools, crafting analyses to make better decisions
• Working with other teams - engineering, data analysts, content closely for setting up, measuring and tracking product metrics
• Evaluating tools to measure product metrics and being a key member in setting up tools working with other teams
• Being the gatekeeper for ensuring data governance around the organization
• Other usual tasks like creating and maintenance of reports and dashboards for ongoing performance tracking

Desired Candidate Profile

• BTech Graduate from good institutes
• Experience in product analytics is a plus (0-3 years)
• Prior experience in a data analysis related profile for an e-commerce/internet company
• Strong analytical skills
• Ability to use SQL or reporting tools to derive actionable insights from user behavior
• Strong passion for analytics and problem solving
• A strong bias for action
• Understanding the common metrics used in the internet industry along with business growth metrics such as retention, churn, CAC, CLTV, etc