933 Marketing Data Analyst jobs in Bengaluru
Marketing Data Analyst
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Hiring for top BPM
8+ Years exp in Snowflake, Python, SQL, Data modeling, Tableau/visualisation tools, schema design
Sal upto 15 to 22 LPA
Shift 2PM to 11PM
Immediate to 45 days notice
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Marketing Data Analyst
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About Open:
OPEN is a leading connected finance platform that empowers finance teams to manage their cashflow better by managing all their business finance systems, right from banking to accounting ERP, payments,CRM, HRMS etc.
- in one place.
OPEN, India's 100th Unicorn, has been awarded the ‘Best Workplace 2024’ by IEEE in 2024. And was recognised by Forbes India and D Globalist’s as 'Top 10 companies among 200 Companies' and was featured in IDFC FIRST Private Hurun India's Top 200 Self-made Entrepreneurs of the Millennia 2023. OPEN was also the recipient of 'Best Digital Banking Solution' from the Global Fintech Fest in 2022 and had won the 'Most Innovative Neo Bank' & the 'Most Innovative Digital Bank' at the Indian Fintech Awards in 2021 & Internet and Mobile Association of India (IAMAI) respectively.
We are currently home to some of the smartest & brightest 300+ minds in the fintech space. OPEN is a Series D funded startup backed by leading international funds like Temasek, Google, Tiger Global, IIFL Finance Ltd.,SBI Holdings Japan, 3one4 Capital, Speed Invest, Beenext, Tanglin Venture Partner Advisors & Angellist to name a few. And to build and strengthen this superpower, we’re on the lookout for an amazing Marketing Analyst
Experience : 3-5years
Location: Bangalore
We are looking for a Marketing Analyst to join Open’s marketing team. This role will be the backbone of our data-driven decision
making ,turning raw numbers into actionable insights that improve campaign efficiency, strengthen customer journeys, accelerate
acquisition, and maximize revenue impact. This is a high-impact role for someone who thrives at the intersection of marketing,
product, and analytics, shaping campaigns, enhancing customer journeys, and enabling sustainable growth
Responsibilities:
- Build and manage marketing dashboards to track performance across channels (paid, organic, outbound, PR, events) with a detailed understanding of channel operations.
- Map and analyze end-to-end customer journeys to identify friction points, optimize engagement, and improve lifetime value.
- Analyze funnel metrics (MQL to SQL to Opportunity to Revenue) to identify bottlenecks and improve conversion rates.
- Perform forecasting and predictive analysis for the various business units.
- Perform cohort, retention, and churn analysis, with a focus on power user behaviors and feature-level adoption patterns.
- Partner with Paid Inbound, Outbound, SEO, and Product Marketing teams to provide insights on CAC, ROI, and pipeline contribution.
- Own marketing attribution modeling and recommend budget allocation across channels.
- Conduct feature usage and product adoption analysis to uncover cross-sell, upsell, and expansion opportunities.
- Provide regular reports on marketing efficiency, spend vs ROI, retention drivers, and pipeline health for leadership.
- Support A/B testing, personalization, and campaign optimization with actionable data insights.
- Conduct competitive and industry benchmarking to guide growth strategy.
Requirements
- 3–5 years experience as a Marketing Analyst/Business Analyst in SaaS, Fintech, or B2B organizations.
- Familiarity with product analytics and journey tools such as Google Tag Manager, Google Analytics 4, Hotjar, Microsoft Clarity, Mixpanel, Amplitude, Heap, or Userpilot.
- Hands-on experience with CRM & marketing automation platforms (HubSpot, Salesforce, Clevertap).
- Strong skills in SQL, Excel, and BI tools (Tableau, Power BI, Looker) will be an added advantage.
- Deep understanding of marketing funnels, CAC, ROI, attribution models, retention frameworks, and customer lifecycle metrics.
- Strong analytical mindset and excellent communication skills to translate complex data into clear business insights for leadership.
Why work at Open?
- You will be part of the early tribe that is changing the way business banking rolls.
- Every atom of your work will impact the way millions of businesses are run.
- You will work with some of the brightest minds who will celebrate your quirks.
- You will find growth & fun to be two-way streets - how you thrive and the way you jive, in turn drives Open.
Marketing Data Analyst
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Job Summary
We are seeking a Data Analyst to join the digital marketing team and act as the bridge between our marketing, analytics, and business teams. The role involves analyzing digital marketing data, identifying trends, providing actionable insights, and supporting decision-making to optimize campaign performance, lead generation, and overall ROI
Key Responsibilities
- Collect, clean, and analyze data from various digital marketing channels (Google Ads, Meta Ads, SEO, CRM, email campaigns, etc.).
- Build dashboards and automated reports through Google Sheets, SQL, Python and Quicksight
- Track KPIs like lead generation, customer acquisition cost (CAC), ROI, conversion rates, and campaign performance.
- Work closely with the digital marketing team to measure effectiveness of campaigns.
- Prepare dashboards with insights, trends, and forecasts to support management decisions.
- Evaluate new tools, technologies, and platforms for digital marketing analytics.
Requirements
- Experience : 1–4 years in digital marketing analytics, business analysis, or performance marketing roles.
- Skills :
- Strong analytical skills with proficiency in Excel/Google Sheets, SQL, Python and visualization tools.
- Experience with marketing platforms: Google Ads, Meta Ads Manager, Google Analytics (GA4).
- Understanding of SEO/SEM, paid media, lead generation funnels, and attribution models.
Marketing Data Analyst
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Title: Data Analyst
Location: Banglore or India (Onsite)
ABOUT GROWTH FUSION:
Growth Fusion is a performance marketing company specializing in lead generation, search arbitrage, and full-funnel media optimization across multiple verticals — including insurance, home services, and e-commerce. We’re a data-driven team focused on scaling results through smart analytics, automation, and creative testing.
ROLE OVERVIEW:
We are looking for a Data Analyst who has a strong command of SQL and Looker Studio (Google Data Studio) to help us translate large, complex data sets into actionable insights. The ideal candidate will play a key role in building dashboards, optimizing campaign performance visibility, and driving data-backed decision-making across all marketing and operations teams.
KEY RESPONSIBILITIES:
- Build and maintain Looker Studio dashboards for marketing, revenue, and performance tracking.
- Write complex SQL queries to extract, transform, and analyze large-scale datasets from BigQuery and other data sources.
- Partner with media buyers and operations teams to provide insights into campaign ROI, EPC, AOV, CTR, CVR, and funnel performance.
- Design and automate ETL pipelines or scheduled queries for reporting consistency.
- Validate data accuracy and ensure reliable data governance across multiple platforms (Meta, Snap, TikTok, RedTrack, etc.).
- Develop data models that improve internal visibility into marketing efficiency and customer behavior.
- Identify performance trends, anomalies, and opportunities for optimization.
REQUIREMENTS:
- Proven experience (2–4 years) as a Data Analyst in a performance marketing or analytics environment.
- Strong proficiency in SQL (writing optimized queries, joins, CTEs, subqueries, etc.).
- Advanced experience in Looker Studio — custom charts, blending data sources, and calculated fields.
- Hands-on experience with Google BigQuery or other data warehouses.
- Understanding of marketing metrics (CTR, CPC, CVR, ROI, AOV, EPC).
- Strong analytical and problem-solving skills with attention to detail.
- Ability to communicate complex data insights to non-technical stakeholders.
NICE TO HAVE:
- Experience with Python for data automation.
- Familiarity with Supermetrics , RedTrack , or similar tools.
- Exposure to performance marketing data (Meta, Snap, TikTok Ads APIs).
- Experience with dashboard automation or data visualization best practices .
WHY JOIN US:
- Health Insurance.
- Work with a high-growth performance marketing team.
- Opportunity to own end-to-end data processes and influence decisions.
- Collaborative environment with a focus on innovation and scalability.
Marketing Data Analyst
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Techmantu is a 10+ year-old digital media consultancy specializing in strategy, implementation, and operations in digital marketing and skilling. The Shared Services team plays a critical role in supporting multiple practice areas, including Techmantu Marketing and Techmantu Skilling, by enabling seamless operational workflows and ensuring high-quality project delivery.
We are looking for Data Analysts to contribute to our consulting engagements across both digital marketing and skilling domains, driving data-driven insights that enhance decision-making, performance optimization, and project success.
Key Skills:
Data Extraction, Data Cleansing, Data Manipulation, Data Design, Data Analysis, Data Measurement & Collection, Building Data Dashboards, Experiment Design, Marketing Campaign Analysis, Marketing Asset Analysis and Optimization, Web Analytics, Paid Media Analytics, Social Media Analytics, Customer Data Analytics, eCommerce Analytics, Competitor Analytics, Google Cloud Platform (BigQuery, Cloud Storage, Dataflow), SQL.
Job Description :
Techmantu Data Analysts are data champions within our Center of Excellence for Data and Technology – Techmantu Labs. Techmantu Labs comprises specialists with a deep understanding of data and technology to support digital marketing and skilling operations. Our Data Analysts operate as integral members of Techmantu’s project delivery teams, working across both marketing and skilling engagements to build, maintain, and optimize data assets that drive measurable outcomes.
To be effective, Techmantu Data Analysts should take on the following responsibilities:
Data Management Lifecycle:
● Extract, cleanse, and reorganize data from both primary and secondary sources for use in both marketing and skilling contexts.
● Build and maintain data pipelines to automate data ingestion, transformation, and loading into data warehouses.
● Design, configure, and manage data warehouses (preferably on Google BigQuery) to support reporting and analytics.
● Perform data quality assessments, identifying patterns, trends, and predictions to inform decision-making across the business.
● Prepare analysis reports and recommendations to be shared with internal and external stakeholders.
- Work extensively with Google Cloud Platform services (BigQuery, Cloud Storage, Dataflow) to support data engineering, storage, and analysis needs.
- Optimize cloud-based data environments for performance, cost, and scalability.
Digital Tracking Mechanisms:
- Work with developers and project teams to implement and monitor tracking mechanisms across marketing assets and skilling platforms, ensuring data accuracy and ongoing performance tracking.
Dashboard Management (Marketing & Skilling):
- Build and manage performance dashboards for both marketing campaigns and skilling initiatives, ensuring accurate and timely data reporting.
- Regularly update dashboards and datasets, clean and preprocess data, and ensure actionable insights are derived from the analysis.
Web & Digital Asset Analytics:
- Analyze website performance using tools like Google Analytics and other measurement platforms.
- Provide insights to optimize user experiences and conversion rates.
Performance Analysis:
- Design and optimize measurement strategies for both marketing campaigns and skilling programs.
- Analyze the performance and ROI of campaigns, skilling initiatives, and other assets.
Campaign Experiment Design:
- Work with delivery teams to design campaign experiments that will produce statistically sound, actionable results.
- Help run experiments (test campaigns), analyze key metrics, and identify opportunities to improve campaign performance.
- Develop and present learnings from analyses, including actionable insights and recommendations.
Requirements:
Please send in an application if the following applies to you:
- Have a postgraduate degree in Business Management, Computer Science, Engineering, Math, Economics, or equivalent background.
- Have outstanding academic achievement with at least a first class.
- Have 2–5 years of hands-on experience as a data analyst, working across data engineering, data analysis, reporting, and business intelligence, preferably in digital media, marketing, or martech environments.
- Experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow) is highly preferred.
- Experience in data warehousing, data pipeline development, and ETL/ELT processes.
- Strong exposure to analysis tools such as Microsoft Excel, Python, Google Sheets, SQL, SAS, SPSS, or MATLAB.
- Exposure to marketing measurement tools such as Google Analytics, WebTrends, or Adobe Analytics.
- Strong verbal, written communication, and data presentation skills.
- Detail-oriented, with strong analytical and problem-solving abilities.
Location:
Techmantu Data Analysts will need to work out of Techmantu’s offices in Koramangala, Bangalore – until they become eligible for our flexible, hybrid-remote working option.
Why Join Us?
Techmantu offers industry-standard pay packages. Techmantu Data Analysts will be provided the necessary preparatory and on-the-job training on the skills & knowledge, and Techmantu’s approach to be effective in their jobs. Techmantu Data Analysts will be under the mentorship and guidance of a Senior Manager in Techmantu Shared Services.
Senior Marketing Data Operations Analyst
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Okta is looking for a Sr. Marketing Data Operations Analyst to join the Marketing Data Operations & Technology team. Reporting into the Sr. Manager, Marketing Technology this new role will support the management and optimisation of Oktas marketing data across our core marketing technology stack.
Okta has a large marketing technology and data estate spanning an audience of millions which includes inputs from a range of systems, including Oktas CRM system (Salesforce), marketing automation platform (Adobe Marketo Engage), and connected infrastructure which includes tools spanning sales outreach (Outreach), ABM (6Sense, Folloze), and data enrichment (Clay, Clearbit).
The Sr. Marketing Data Operations Analyst will contribute to a number of critical areas supporting Oktas drive towards operational excellence across its marketing technology estate. This includes driving overall database health and improving data quality, the management of integrations in the data operations function and the conducting of ongoing data maintenance as well as processes to support these efforts.
The role is integral to delivering a program of technical efficiency, operational excellence and a supporting framework of data-driven insights from within the Marketing Data Operations & Technology team. This role requires strong analytical skills, attention to detail and the ability to collaborate with cross functional teams. As such the successful candidate will be able to demonstrate a data-driven marketing mindset and have demonstrable experience of working within a data operations function or role to support and drive marketing performance.
Job Duties And Responsibilities:
Manage and drive data cleansing initiatives and enrichment processes to improve data accuracy and completeness.
Administer and maintain key data enrichment marketing technology tools, with a focus on Clay and Clearbit, ensuring optimal configuration and utilization.
- Partner closely with key Marketing stakeholders to create and manage new use cases and workflows within our data enrichment tools - creating business requirement docs, technical architectural flows, and monitoring/measuring business impact.
- Partner closely with the greater Marketing Operations team to manage data updates, maintenance, and logic within 6sense to support effective ABM strategies.
- Identifying data gaps, discrepancies and issues and, where appropriate, owning the design and implementation of processes to improve these issues.
- Assist with manual data load fixes across various platforms (Salesforce, Marketo, etc), ensuring data integrity and resolving data discrepancies.
Provide miscellaneous data operations tool support and fulfill tool provisioning requests, ensuring users have the necessary access and functionality.
Drive and collaborate on the creation of a Marketing Data Ops Data Dictionary, ensuring data governance and clarity across tools and systems.
Skills & Experience:
- Required: 3+ years of experience working in a data operations function or role supporting go-to-market teams
- Required: Experience of working with Salesforce (preference for candidates who have worked directly with systems integrations with Salesforce. Salesforce certifications are a plus). Candidates should be comfortable with the core Salesforce Object models
- Required: Experience of working with business stakeholders to understand existing workflows, business requirements and translate this into solution design and delivery.
- Required: Strong critical thinker and problem solver, with an eye for detail
- Preferred: Knowledge of SQL (for analytics) and comfortable querying data-warehouses for analytical purposes (such as SnowFlake)
- Preferred: Candidates with experience of integrating with analytics and data orchestrations platforms (Openprise, FiveTran, Tableau, Datorama, Google Data Studio/Looker Studio).
Preferred: Candidates with exposure to a range of Marketing Technology applications: For example:
Sales outreach platforms: Such as Outreach / SalesLoft.
- ABM platforms: Such as 6Sense / Folloze.
- Optimization/ Personalization platforms: such as Intellimize / Optimizely
- Data Enrichment Tools: Such as Leadspace/ Clay / ZoomInfo / Clearbit
"This role requires in-person onboarding and travel to our Bengaluru, IN office during the first week of employment."
Data Analyst
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Curefit Healthcare Pvt Ltd, founded in 2016, is India's largest fitness company and wellness platform. Cult, from the house of Curefit, was established with a mission to make fitness easy, fun and accessible to everyone, and has emerged as a community celebrating the joy of fitness. The brand today offers a range of fitness services ranging from group workouts, gyms and personalized fitness solutions, as well as an expansive selection of quality fitness products for the everyday athlete. The company's vision is to empower everyone towards an active and healthier lifestyle through innovative fitness solutions, enabled by technology.
As a Sr Executive in our Contact Center Control Tower, you will be central to ensuring smooth and efficient operations. You'll be responsible for managing MIS, Workforce Management (WFM), and Real-Time Management (RTM) functions. Your key focus will be on monitoring real-time performance, analyzing data to identify trends and issues, deriving actionable insights, and driving course correction to optimize our sales and customer support teams.
Roles & Responsibilities
- MIS & Reporting: Develop and maintain key performance reports and dashboards. Ensure data accuracy for decision-making.
- Workforce Management (WFM): Oversee scheduling, forecasting, and capacity planning to meet operational needs.
- Real-Time Management (RTM): Monitor live contact center activity and agent performance. Identify and address immediate operational challenges.
- Real-Time Monitoring: Continuously track key metrics and agent adherence to schedules. Flag deviations and escalate as needed.
- Data Analysis & Insights: Analyze performance data to identify trends, root causes of issues, and opportunities for improvement.
- Course Correction: Based on real-time observations and data analysis, recommend and implement immediate adjustments and long-term solutions to enhance efficiency and KPIs.
- Collaboration: Work closely with operations managers, team leaders, and other stakeholders to ensure alignment and effective strategy execution.
Qualifications:
- Bachelor's degree in a relevant field.
- Proven experience (typically 3+ years) in contact center operations, directly involved in MIS, WFM, and/or RTM.
- Strong analytical and problem-solving skills.
- Proficiency in data analysis tools (e.g., Excel, Google Sheets, and SQL is a plus) and contact center technology.
- Ability to interpret data, identify trends, and translate findings into actionable steps.
- Excellent communication and collaboration skills.
- Understanding of key contact center metrics and KPIs.
- Ability to work effectively in a fast-paced, real-time environment.
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Data Analyst
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Company Description
House Construct, founded in 1997, is a construction company committed to creating exceptional living spaces. With over two decades of experience and more than 400 satisfied clients, we pride ourselves on innovation, quality, and sustainability. Our projects reflect our dedication to precision and the highest standards in construction. Every project speaks to our unwavering commitment to turning dreams into reality.
Role Description
This is a full-time on-site role for a Data Analyst, located in Bengaluru. The Data Analyst will be responsible for analyzing data, performing data modeling, conducting statistical analyses, and delivering insights that support our decision-making processes. The role also includes presenting findings and communicating complex data insights to various stakeholders effectively.
Qualifications
- Strong Analytical Skills and expertise in Data Analytics
- Proficiency in Statistics and Data Modeling
- Excellent Communication skills, both written and verbal
- Attention to detail and the ability to work independently
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
- Experience in the construction industry is a plus
- Proficiency in data visualization tools and software