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Required Skills: Customer Segmentation & Personalization, CRM & Lifecycle Marketing, Data Analysis & KPI Reporting, A/B Testing & Experimentation, Funnel & Journey Optimization
Criteria:
- Candidate should have Experience: 4–6 years in CRM & Lifecycle Marketing for digital-first/app-based platforms.
- Preferred Industry Exposure: Gaming / OTT / E-commerce
- Proven ability to own end-to-end lifecycle metrics such as activation, retention, churn reduction, or reactivation
- Strong hands-on experience with CRM automation platforms such as Clevertap, MoEngage, Braze, or WebEngage
- Expertise in user segmentation, cohort creation, and personalized targeting based on behavioral and transactional data
- Experience in managing cross-channel campaigns (Push, WhatsApp, SMS, Email, RCS, In-app) with a focus on ROI and spend optimization
- Proficient in data analysis, funnel tracking, KPI reporting, and deriving insights (DAU, WAU, retention %, churn, watch conversion)
- Hands-on experience with A/B testing, experiments, holdout groups, and iterative optimization
- Strong understanding of journey mapping and funnel optimization, with the ability to identify drop-offs and improve user progression
- Candidates must have a 70% strategy + 30% execution mindset, ideally from reputable consumer brands.
Description
We are looking for a CRM & Lifecycle Marketing Manager to own and drive key user lifecycle metrics at company. The ideal candidate is data-driven, detail-oriented, and experienced in executing CRM campaigns and automation journeys that drive activation, retention, and engagement.
This is a high-impact, ownership-driven role where you’ll be responsible for defining, executing, and optimizing end-to-end CRM strategies using platforms like Clevertap, MoEngage, or WebEngage.
Key Responsibilities:
1. End-to-end metric ownership Be fully accountable for a defined lifecycle KPI (e.g., activation, D7 retention, churn rate) — set targets, build roadmap, deliver improvements and own outcomes.
2. Campaign setup & CRM operations (Clevertap / Braze / etc.) Build, configure, QA and execute campaigns and automated journeys in the CRM platform (Clevertap or equivalent) — audience selection, triggers, scheduling, tagging, and delivery monitoring.
3. Segmentation & personalization Define behavioural and transactional cohorts, implement dynamic personalization rules, and maintain audience hygiene to ensure relevance and lift.
4. Experimentation & optimization Design and run A/B and holdout experiments, analyse uplift, and iterate on messaging, timing and frequency to maximize impact.
5. Analysis, reporting & cross-functional alignment Track and interpret campaign and funnel metrics, maintain dashboards, produce concise insights and recommendations, and coordinate with Product, Data and CX for dependencies and fixes.
Key Expected Outcomes:
1. Improvement in owned lifecycle metric — measurable growth in activation, retention, reactivation, or churn reduction for the assigned user cohort.
2. High-quality campaign execution — error-free setup, timely delivery, and consistent hygiene across CRM journeys and automations.
3. Increased user engagement & watch conversion — stronger daily/weekly active ratios and deeper content consumption.
4. Data-driven optimization — regular testing and iteration leading to improved CTRs, conversions, and journey completion rates.
5. Actionable insights for business teams — clear reporting and learnings that inform product and marketing decisions.
Requirements:
● End-to-end Lifecycle Ownership – ability to plan, execute, and measure campaigns for a defi ned metric or stage (e.g., activation, retention).
● CRM Automation Expertise – hands-on execution using tools like Clevertap ,MoEngage, WebEngage
● User Segmentation & Targeting – defi ning cohorts based on behaviour, subscription status, and engagement data.
● Cross-channel Campaign Management – executing communication via push, WhatsApp, SMS, RCS, email, and in-app along with Spends optimization
● Data Analysis & Reporting – tracking key KPIs and metrics (eg. DAU, WAU, retention %, watch conversion, churn) and deriving insights along with RCA
● A/B Testing & Experimentation – Continuously ideating, setting up and evaluating experiments to improve conversion and retention.
● Journey & Funnel Optimization – identifying drop-offs and improving user progression through lifecycle stages.
● Copy & Creative Collaboration – working with content/design teams to ensure messaging relevance and clarity.
● Stakeholder Collaboration – aligning with product, CX, Content and data teams for execution dependencies.
● Ownership Mindset – accountable for end outcomes and continuously optimizing performance of the assigned metric.
What will be the success metric for this role?
● Improvement in owned lifecycle metric — measurable growth in activation, retention, reactivation, or churn reduction for the assigned user cohort.
● High-quality campaign execution — error-free setup, timely delivery, and consistent hygiene across CRM journeys and automations.
● Increased user engagement & watch conversion — stronger daily/weekly active ratios and deeper content consumption.
● Data-driven optimization — regular testing and iteration leading to improved CTRs, conversions, and journey completion rates.
● Actionable insights for business teams — clear reporting and learnings that inform product and marketing decisions.
About the Role
Hudson Data is looking for a Senior / Mid-Level SQL Engineer to design, build, optimize, and manage our data platforms. This role requires strong hands-on expertise in SQL, Google Cloud Platform (GCP), and Linux to support high-performance, scalable data solutions.
We are also hiring Python Programers / Software Developers / Front end and Back End Engineers
Key Responsibilities:
1.Develop and optimize complex SQL queries, views, and stored procedures
- Build and maintain data pipelines and ETL workflows on GCP (e.g., BigQuery, Cloud SQL)
- Manage database performance, monitoring, and troubleshooting
- Work extensively in Linux environments for deployments and automation
- Partner with data, product, and engineering teams on data initiatives
Required Skills & Qualifications
Must-Have Skills (Essential)
- Expert GCP mandatory
- Strong Linux / shell scripting mandatory
Nice to Have
- Experience with data warehousing and ETL frameworks
- Python / scripting for automation
- Performance tuning and query optimization experience
Soft Skills
- Strong analytical, problem-solving, and critical-thinking abilities.
- Excellent communication and presentation skills, including data storytelling.
- Curiosity and creativity in exploring and interpreting data.
- Collaborative mindset, capable of working in cross-functional and fast-paced environments.
Education & Certifications
- Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Masters degree in Data Analytics, Machine Learning, or Business Intelligence preferred.
⸻
Why Join Hudson Data
At Hudson Data, youll be part of a dynamic, innovative, and globally connected team that uses cutting-edge tools from AI and ML frameworks to cloud-based analytics platforms to solve meaningful problems. Youll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.
Job Description
Understanding the client's requirements and consequently strategizing effective lead generation campaigns accordingly
Being the post-sales SPOC for the client and ensuring optimal lead delivery
Overseeing a team of Telecallers and data entry analysts to ensure client delivery and satisfaction
Working closely with the sales and business development team and communicating campaign feasibility after doing effective due diligence of each proposed campaign
Responsibilities
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Deliver full-cycle Tableau development projects, from business needs assessment and data discovery, through solution design, to delivery to client.
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Enable our clients and ourselves to answer questions and develop data-driven insights through Tableau.
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Provide technical leadership and support across all aspects of Tableau development and use, from data specification development, through DataMart development, to supporting end-user dashboards and reports.
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Administrate Tableau Server by creating sites, add/remove users, and provide the appropriate level access for users.
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Strategize and ideate the solution design. Develop UI mock-ups, storyboards, flow diagrams, conceptual diagrams, wireframes, visual mockups, and interactive prototypes.
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Develop best practices guidelines for Tableau data processing and visualization. Use these best practices to quickly deliver functionality across the client base and internal users.
Qualifications
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Degree in a highly-relevant analytical or technical field, such as statistics, data science, or business analytics.
· 5+ years as a Tableau developer and administrator.
· Extensive experience with large data sets, statistical analyses, and visualization as well as hands-on experience on tools (SQL, Tableau, Power BI).
· Ability to quickly learn and take responsibility to deliver.
- MSMEx is a business advisory platform which connects Micro, Small & Medium Enterprises (MSMEs) & Start-ups with leading industry experts for professional advice & mentoring.
- Our goal is to bring world-class business management support in a micro advisory format to MSMEs at highly-affordable price points, so they can scale to their full potential faster with qualified guidance, expert mentoring and hand-holding.
- We take a customer-centric approach in our product development and measure our success using defined business metrics.
- We are a small team with diverse background & experiences. We work hard as a team - and appreciate the meaningful contribution of each other. We celebrate the journey and milestones and don- t wait for destination.
Responsibilities :
- Perform market research and competitive analysis
- Understand user needs, pain points & behaviour
- Develop & drive product direction and strategy
- Own the product roadmap, milestones and KPIs
- Collect & gather the requirements from different stakeholders to write PRDs & User
Stories.
- Define Acceptance Criteria & KPIs for each product feature
- Preparing Wireframes to explain the feature requirements to UI/UX Team
- Managing & Planning Sprints, Backlog & UAT
- Oversee product execution from inception to delivery
- Define and execute go-to-market plans /strategies along with marketing team
- Work with design, engineering, operations & marketing teams to set priorities & achieve the product and business goals
- Own the product tracking & analytics to gain insights for product iteration
Requirements:
What we are looking for:
- BE/BTech or MBA with relevant experience of 3-5 years
- Strong Analytical Skills with ability to formulate data driven decisions
- Own a track record of building interesting mobile products
JOB DESCRIPTION - PRODUCT MANAGER :
- Experience in Agile Product Development Process
- Exceptional Written & Verbal Communication Skills
- Cross-Functional Team Management
- A Team Player with an Entrepreneurial spirit
- Embrace change, and thrive in a fast-paced start-up environment
Tools:
- Project Management: JIRA, Slack etc
- Wireframing Tools: Framer etc
- Analytics: Google Analytics, Google Tag Manager, Facebook Analytics, Metabase, Tableau etc
- MS Office: Excel, Power Point, Word etc
Why MSMEx?
- You want to work directly with cofounders & serial entrepreneurs
- You love challenges and independently solve them
- You love to work in fast paced start-up environment
- You want fast paced growth in your career
Location: Preferred Mumbai in long run. For 2021 can work from anywhere.
Roles & Responsibilities -
The business development executive will be primarily responsible for generating new business for the company alongside the Head of Global Business Development. Daily responsibilities will include:
- Lead generation via an existing network, B2B portals and other online/offline mediums
- Market research & analysis to figure out the obtainable market between the various geographies that we operate in
- Work collaboratively with the existing team and exhibit a solid pre-sales function, right from RFP, business analysis and submission of proposals.
- Identify sales tactics and close deals on a fast-paced level to gain maximum traction and growth in your success ladder
- Communicate with all the stakeholders and build a cohesive environment for teammates and the clients.
Pre-requisites -
1-2 years of experience working in an IT services-based organization
Profound knowledge of systems and new-age technologies used for delivering applications in current times
Graduate or Post Graduate from any Tier 1 institution across Pune/Mumbai or other locations
Excellent written, verbal and negotiation skills
Profound email & business language proficiency to communicate in the international market
Experience in servicing international clients across USA, UK, EU, Asia-Pacific & Middle-east
Flexibility to work across various time zones
This is a full-time position in the office. But hybrid with WFH twice a month can be allowed.
What do we offer?
Growth-led inclusive environment. Ideas to impact. Good compensation but great incentives.
• Work with various stakeholders, understand requirements, and build solutions/data pipelines
that address the needs at scale
• Bring key workloads to the clients’ Snowflake environment using scalable, reusable data
ingestion and processing frameworks to transform a variety of datasets
• Apply best practices for Snowflake architecture, ELT and data models
Skills - 50% of below:
• A passion for all things data; understanding how to work with it at scale, and more importantly,
knowing how to get the most out of it
• Good understanding of native Snowflake capabilities like data ingestion, data sharing, zero-copy
cloning, tasks, Snowpipe etc
• Expertise in data modeling, with a good understanding of modeling approaches like Star
schema and/or Data Vault
• Experience in automating deployments
• Experience writing code in Python, Scala or Java or PHP
• Experience in ETL/ELT either via a code-first approach or using low-code tools like AWS Glue,
Appflow, Informatica, Talend, Matillion, Fivetran etc
• Experience in one or more of the AWS especially in relation to integration with Snowflake
• Familiarity with data visualization tools like Tableau or PowerBI or Domo or any similar tool
• Experience with Data Virtualization tools like Trino, Starburst, Denodo, Data Virtuality, Dremio
etc.
• Certified SnowPro Advanced: Data Engineer is a must.
Remote Work, US shift
General Scope and Summary
The Data and Analytics Team sits in the Digital and Enterprise Capabilities Group and is responsible for driving the strategy, implementation and delivery of Data,
Analytics and Automation capabilities across Enterprise.
This global team will deliver “Next-Gen Value” by establishing core Data and Analytics capabilities needed to effectively manage and exploit Data as an Enterprise Asset. Data Platform Operations will be responsible for implementing and supporting Enterprise Data Operations tools and capabilities which will enable teams
to answer strategic and business questions through data .
Roles and Responsibilities
● Manage overall data operations ensuring adherence to data quality metrics by establishing standard operating procedures and best practices/playbooks.
● Champion the advocacy and adoption of enterprise data assets for analytics and analytics through optimal operating models.
● Provide day-to-day ownership and project management data operations activities including data quality/data management support cases and other ad-hoc requests.
● Create standards, frameworks for CI/CD pipelines and DevOps.
● Collaborative cross-functionally to develop and implement data operations policies balancing centralized control and standardization with decentralized speed and flexibility.
● Identify areas for improvement. Create procedures, teams, and policies to support near real-time clean data, where applicable, or in a batch and close process, where applicable.
● Improve processes by tactically focusing on business outcomes. Drive prioritization based on business needs and strategy.
● Lead and control workflow operations by driving critical issues and discussions with partners to identify and implement improvements.
● Responsible for defining, measuring, monitoring, and reporting of key SLA metrics to support its vision.
Experience, Education and Specialized Knowledge and Skills
Must thrive working in a fast-paced, innovative environment while remaining flexible, proactive, resourceful, and efficient. Strong interpersonal skills, ability to understand
stakeholder pain points, ability to analyze complex issues to develop relevant and realistic solutions and recommendations. Demonstrated ability to translate strategy into action; excellent technical skills and an ability to communicate complex issues in a simple way and to orchestrate solutions to resolve issues and mitigate risks.
Work Location : Chennai
Experience Level : 5+yrs
Package : Upto 18 LPA
Notice Period : Immediate Joiners
It's a full-time opportunity with our client.
Mandatory Skills:Machine Learning,Python,Tableau & SQL
Job Requirements:
--2+ years of industry experience in predictive modeling, data science, and Analysis.
--Experience with ML models including but not limited to Regression, Random Forests, XGBoost.
--Experience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models.
--Experience writing code in Python and SQL with documentation for reproducibility.
--Strong Proficiency in Tableau.
--Experience handling big datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL.
--Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.
--AWS Sagemaker experience is a plus not required.
• Give insights to deal pursuit – such as findings from similar past proposals, industry challenges, and G differentiators
• Support solution development by chipping in to proposal storyline and business case, Tower wise solution consolidation, understanding and supplying to the commercial construct
• Excellent research skills and experience of working on research tools & databases such as Factiva, CapIQ, analyst databases like Everest, Nelson Hall etc. Information and data gathering to insights generation into our - key accounts, markets, competition, Client CXOs
• Detailed market assessment, sizing and market intelligence studies; Regular research into Vertical/Account related strategic/tactical developments
• Identifying client specific issues/situation, developing hypotheses and possible solutions; bring together and research data; develop pertinent and thoughtful analysis; support in communicating findings and recommendations to end clients to drive sales conversations
• Be the strategic partner and help in identifying new growth areas by demonstrating and coordinating with the entire ecosystem
• Enable the adoption and cadence of sales governance. Driving conversations on lead management, Deal and pipeline reviews
• Conducting performance management and analytics to come up with relevant insights for Sales and business Leaders
• Driving demand generation initiatives across multiple channels to generate incremental pipeline and drive net new sales












