3228 Looker Jobs - Page 26

Job Title: Data Engineer – Data Platforms (GCP) Experience: 4 to 10 Years Location: Chennai, India Job Type: Full-Time Job Summary We are seeking a skilled Data Engineer with hands-on experience in Google Cloud Platform (GCP) and BigQuery to design and build efficient, scalable, and high-performance data pipelines and platforms. The ideal candidate will have strong programming skills and a solid background in data processing using PySpark and SQL . Key Responsibilities Develop, test, and deploy scalable data pipelines and processing solutions on GCP Work extensively with BigQuery for data warehousing and analytics Design and optimize data workflows using PySpark and SQL Ensure data quality, integrity, and performance across platforms Collaborate with data analysts, scientists, and application teams to integrate data-driven features Contribute to architecture design, code reviews, and process automation Maintain and monitor data solutions to support business objectives Must-Have Skills 6+ years of software development experience Strong expertise in GCP and BigQuery Proficient in SQL and PySpark Experience in building large-scale data processing pipelines Solid understanding of application design, software development, and automated testing Good-to-Have Skills Experience with BI tools (e.g., Looker, Tableau, Power BI) Familiarity with CI/CD practices in data engineering projects Exposure to data governance, security, and compliance Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field GCP certification (e.g., Professional Data Engineer) is a plus Strong analytical and problem-solving skills

MINIMUM QUALIFICATIONS Bachelors degree from accredited university (Full Time) in Business Analytics or a related subject area 8+ years of total experience with 6+ years of relevant experience working with business stakeholders and designing analytical solutions. Extensive experience in creating interactive dashboards using Tableau (Expert) and other visualization tools (Basic) Domo, Looker, Business Objects, Advance Excel, SQL, etc. Strong communication skills, capable of translating business requests into technical requirements and articulating the pros and cons of different technologies, platforms, design and architectural options. Proficient in data and analytics tools and concepts, including dimensional modeling, ETL, reporting tools, data governance, data warehousing and both structured and unstructured data. Basic understanding of data extraction using Google Big Query, Oracle, SQL Server, SAP BW or SAP HANA Proficient at influencing without authority, skilled at advising and negotiating with business leaders to develop high value solutions. PREFERRED QUALIFICATIONS Thought-driven leadership to successfully deliver scalable team management and business solutions. Knowledge of at least one other programming language such as Python is a plus. Takes the initiative to do the right thing - doesn't walk past a problem. Consultant mindset - able to challenge with courage and influence upwards and with peers. Agile learner - has passion and curiosity to learn new things and understand the "why" Tableau desktop certification - preferred For more details please connect on Kajal.lokhande@genmills.com.

At Jellyfish, we believe in the power of diverse perspectives and inclusive collaboration. We welcome individuals who excel in collaborative, varied teams and value the unique contributions that each person brings to the table. Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand. Job Description Reporting to our Director of Data Science, Investment Analytics, you will create an impact within our Investment Analytics practice and help with the Paid Media data applications that Jellyfish uses to lead expertise, improve, and transform solutions and services for our clients. You'll help lead complex data science solutions, guiding multi-capability presentations, and taking ownership of advanced measurement and testing for our clients. Join us in our mission to deliver data-inspired excellence! Your primary responsibilities will include: Analyze data to discover hidden trends; deliver insights with clear applicable recommendations. You will be working on EST hours (6:30 PM to 3:30 AM IST) Dedicate time to explaining and promoting the use of data science methodologies such as Media Mix Models, Geo-based Incrementally. Experiments, Causal Impact Studies, and other statistically sound testing approaches. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights. Develop, and implement Marketing Mix Models to improve media performance, customer experiences, revenue generation, and other outcomes. Work with platform partners to grow the suite of mathematical techniques for Incrementally Testing, Media Mix Modeling and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients. Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation. Qualifications Fluency in English. Programming proficiency in Python and SQL. 1 + years of experience in a data role. analyzing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics . Proficiency in visualizing data using Tableau, Looker, Matplotlib, or equivalents. Strong Experience with the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app. Skilled in media measurement methodologies such as media mix modeling, incrementality analysis, and attribution modeling. You seek and implement solutions to improve and automate processes. An understanding of machine learning concepts with hands-on experience. A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals. Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions. Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English. Additional Information Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs. 💰 Reward: You'll be eligible to join our discretionary annual bonus scheme. 💫 Custom Work Environment: Work remotely in a night shift model. 📈 Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn. Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to talentacquisition@jellyfish.com .

Role Overview: Experience in working with stakeholders to understand the data requirements to design, develop, and maintain complex ETL processes. Create and maintain data models, including schema design and optimization. Create and manage data pipelines that automate the flow of data, ensuring data quality and consistency. Participate in requirements analysis. End delivery of key modules. Design and architect key modules. Create a data-driven culture with business intelligence. Create a complicated data model in Power BI Building a great data model to simplify the disarray. Work with dimensions, hierarchy etc. Write clean, scalable code using Python/Scala and PySpark (must have) programming languages Test and deploy applications and systems. Revise, update, refactor and debug code. Be part of a fast-paced team providing leading IT solutions to Condeco business clients. Mentoring team members Ideas and implementation in engineering hackathons What will make you successful : Degree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience. Minimum 7 years of experience in Data Engineering. Must have been on lead role in past for at-least 2 years. Proficiency in programming languages commonly used in data engineering, such as Python, PySpark, SQL. Experience in Azure cloud computing platform, such as developing ETL processes using Azure Data Factory, big data processing and analytics with Azure Databricks. Excellent communication. Experience in strong problem-solving and troubleshooting skills. 2-4 years of experience in Analytics/Visualization & good project work experience using tools like Looker, MS Power BI, Tableau, IBM Cognos etc. Expert in creating a complicated data model with dimensions, hierarchy etc. Workflow Tools: Atlassian (Jira, Confluence), Git, O365, MS Teams / Slack. Knowledge of reducing the added cost, complexity, and security risks of multiple solutions with an analytics platform that scales from individuals to the organization. Good to have: Experience of NOSQL/COSMOS DB/MONGO DB

Responsibilities This is a CONTRACT TO HIRE on-site role for a Data Engineer at Quilytics in Mumbai. The contract will be of 6 months with an opportunity to convert to full time role. As a Data Engineer, you will be responsible for data integration, data modeling, ETL (Extract Transform Load), data warehousing, data analytics, and ensuring data integrity and quality. You will be expected to understanding fundamentals of data flow and orchestrations and design and implement secure pipelines and datawarehouses. Maintaining data integrity and quality is of utmost importance. You will collaborate with the team to design, develop, and maintain data pipelines, data platforms using Cloud ecosystems like GCP, Azure, Snowflake etc. You will be responsible for creating and managing the end-to-end data pipeline using custom scripts in python, R language or any third party tools like Dataflow, Airflow, AWS Glue, Fivetran, Alteryx etc. The data pipelines built will be used for managing various operations from data acquisition, data storage to data transformation and visualization. You will also work closely with cross-functional teams to identify data-driven solutions to business problems and help clients make data-driven decisions. You will also be also expected to help build dashboards or any custom reports in Google sheets or Excel. Basic to mid level proficiency in creating and editing dashboards on at least one tool is a must. Qualifications 2+ of experience in using python language to perform Data Engineering, Data Modeling, Data Warehousing and Data Analytics and ETL (Extract Transform Load) Familiarity with GUI based ETL tools like Azure data factory, AWS Glue, Fivetran, Talend, Pentaho etc. for data integration and other data operations. Strong programming skills in SQL, and/ or R. Python. This is a must-have skill. Experience in designing and implementing data pipelines and data platforms in cloud and on-premise systems Basic to mid level proficiency in data visualization on any of the industry accepted tools like Power BI, Looker studio or Tableau is a plus. Understanding of data integration and data governance principles Knowledge of cloud platforms such as Snowflake, AWS or Azure Excellent analytical and problem-solving skills and good communication and interpersonal skills Bachelor's or Master's degree in Data Science, Computer Science, or a related field

The CoinDCX Journey: Building Tomorrow, today At CoinDCX, we believe ‘CHANGE STARTS TOGETHER’. You are the driving force that will help us make Web3 accessible to all. In the last six years, we have skyrocketed from being India’s first crypto unicorn to carrying a community of over 125 million with us. To continue maximising the adoption and acceleration of Web3, we are now focused on developing cutting-edge products, addressing accessibility and security challenges, and bridging the gap between people and Web3 technologies. While we go ahead and keep dominating the Web3 world, we would like to HODL you on our team! Join our team of passionate innovators who are breaking barriers and building the future of Web3. Together, we will make the complex simple, the inaccessible accessible, and the impossible possible. Boost your innovation to an ALL TIME HIGH with us! Inside CoinDCX’s Business Analytics Team Our Business Analytics team is an awesome group of collaborators, who love to solve first-of-its-kind problems with a lot of autonomy, creativity and fun. As a team, they fulfil the needs, wants and desires of our patrons by finding the key levers that enable them to use our platforms better. You help them do more. At CoinDCX you will not only be the skill of the future but also you will get to work and learn from the best while building the future of Web3. Coin your trust in us as we create magic together! This particular role is for the DeFi arm of CoinDCX i.e @Okto About Okto Okto, is a key player in the Web3 orchestration space, focusing on Chain Abstraction and powering the Okto Wallet and Lite SDK used by over 1 million users. The company is at the forefront of innovation in the blockchain industry, with a strong focus on user experience and technology advancement. You need to be a HODLer of these 4-5 years of experience as an Analyst or in a similar role with Outstanding analytical and problem-solving skills Excellent SQL skills and experience in at least one scripting language (Python or R) for data manipulation and automation Solid understanding of statistical methods and experiment designs Must have hands-on experience with product analytics and BI tools like MixPanel Amplitude, Google Analytics, Looker, and Tableau You will be mining through these tasks This is a full-time hybrid role for a Lead Business Analyst at Okto. The role involves overseeing business analysis activities, communication with stakeholders, analyzing and improving business processes, and gathering and documenting business requirements. Providing Analytical recommendations to influence our product, growth, marketing and strategy Design and evaluate product and growth experiments backed by solid hypotheses. Finding insights that influence decisions (product/features), spanning from early data explorations about user behaviour to multivariate experiments and optimisations Providing user insights through data: cohorts analysis, user segmentation, funnels and behavioural analyses in partnership with growth, product, engineering and UX You will be leading a team as well as contribute as an IC to some projects, and hence expected to have Strong technical skills, Strong Communication skills, experience in Business Process improvement, Mentorship and Project management experience. You will also be working on blockchain analytics that will open up a very different dataset for you. However, previous experience is not must, but open to learning and interest into web3 sector will play a pivotal role Are you the one? Our missing block You take ownership and have a thirst for excellence with an impact-driven and result-oriented mindset. You grow while helping others grow with you You thrive on change, have attention to detail, and passion for quality You love exploring new ideas to build something useful and are always curious to learn. Perks That Empower You Our benefits are designed to make a lasting impact on your life, giving you the freedom to create a work-life balance that truly suits you. Design Your Own Benefit: Tailor your perk package to fit your unique needs. Whether you’re eyeing a new gadget or welcoming a furry friend into your life, our flexible benefits ensure that you can prioritize what matters most to you. Unlimited Wellness Leaves: We believe in the power of well-being. Take the time you need to recharge, knowing that your health is our priority. With unlimited wellness leaves, you can return refreshed, ready to build and grow. Mental Wellness Support: Your mental health is as important as your professional growth. Benefit from access to health experts, free counseling sessions, monthly wellness workshops, and regular team outings, all designed to help you stay balanced and connected. Bi-Weekly Learning Sessions: These sessions are more than just updates—they’re opportunities to fuel your growth. Stay ahead with the latest industry knowledge, sharpen your skills, and accelerate your career in an ever-evolving landscape.

Are you passionate about using data and process design to drive real impact across the customer journey? Do you enjoy digging into how clients use a product, where they get stuck, and what helps them succeed? If so, we’re looking for you. We’re a fast-growing B2B SaaS company that helps organizations build highly engaged, high performance teams As we scale, we’re investing in the way we serve and grow our customer base. That’s where you come in. What You’ll Own And Achieve In This Role As our Customer Operations Analyst / Process Analyst, you’ll be the engine behind improving how we onboard, retain, and grow customers. This is not a back-office reporting role—it’s a strategic seat that will influence Product, Customer Success, and Revenue Growth. Here’s what success looks like in your first 12 months : Key Outcomes You’ll Drive Reduce time-to-value by 30% by auditing and redesigning the onboarding process to remove friction and improve handoffs. Increase feature utilization by 20% across key customer segments by building usage dashboards and partnering with CS and Product on adoption playbooks. Build a predictive customer health model that flags at-risk accounts with 80%+ accuracy at least 60 days in advance. Define and launch a service effectiveness framework with 3–5 key metrics (e.g., onboarding success, CSAT, support SLAs) to track and improve delivery outcomes. Identify 15–20 qualified upsell opportunities/month using a scoring model based on product usage, engagement, and customer profiles. Automate 5+ manual workflows or reports across the CS and Revenue Ops team to improve efficiency and reduce redundant work. What You’ll Be Doing Day-to-Day Analyze platform usage data to uncover trends in adoption, friction, and product ROI. Partner with Customer Success to improve onboarding, success planning, and health tracking processes. Work with Product to surface customer feedback and usage gaps. Build scalable reporting frameworks using tools like Looker, Excel, SQL, and HubSpot. Monitor the full customer lifecycle and identify early warning signs of churn. Support Sales and CS teams with insights for QBRs, expansion plays, and renewals. Automate insights and reporting with tools like Zapier, HubSpot workflows, and dashboards. What You Bring Ideally a Bachelors or Masters in Operations Management/Research, Statistics, Industrial Engineering, Process Management related field 2–5 years of experience in Customer Operations, Business/Process Analysis, Customer Success Ops, or a similar role in a B2B SaaS environment. Strong analytical and modeling skills—you’re fluent in using data to drive decisions. Working knowledge of HubSpot (CRM, workflows, reporting) is strongly preferred. Use of AI and AI automation tools to augment your work Experience with customer engagement tools and analytics platforms Excellent communication skills—you can translate technical insights into business actions across teams. A systems-thinker mindset—you’re excited about solving root problems, not just surface-level symptoms. Why Join Us? Mission-driven team with a supportive and fast-paced culture. Work with leaders across Product, Sales, and CS to drive strategic impact. Competitive salary, benefits, and growth opportunities. Flexible work environment.

Role Title: Business Analytics Associate Advisor About Evernorth Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Position Summary The job profile for this position is Business Analytics Associate Advisor, which is a Band 3 Contributor Career Track Role. The Cigna Enterprise Operations Analytics organization offers solutions that provide actionable insights to internal and external business partners and customers that help improve customer experience, reduce cost, measure and forecast business performance, and improve process and procedures. The Business Analytics Associate Advisor will be responsible for creating a detailed business analysis, outlining problems, opportunities and solutions for their respective client group. The candidate should have proficiency with assembling the data to tell a story and present the findings in a creative and insightful way to top leadership / management. This candidate will have the ability to provide thought leadership and technical expertise cross multiple disciplines. Job Description & Responsibilities Reporting on productivity and project progress and ensuring that they are compliant with quality standards. Using Databricks and SQL for reporting and analytics, to write queries to answer questions and perform ETL tasks to create datasets. Maintaining both internal and external channels of communication. Utilizing Python libraries (scikit-learn, pandas, numpy) to conduct statistical analyses. Gathering details regarding the business of the operations area by using a variety of methods (shadowing interviews, shadowing, surveys or reading reports, etc.). Performing statistical tests such as k-means, OLS and MLS regressions, and logistic regressions. Working with stakeholders to scope and plan projects and analysis topics. Providing findings and data driven recommendations to leadership. Writing tests and logging for data pipelines and automation. Experience Required 8+ years of relevant analytics experience Experience Desired Experience as a Business Analytics Associate Advisor is a plus. Expertise in health insurance contact center operations. Experience with Business Intelligence Software (Tableau, Power BI, Looker, etc.). Additional Skills Education and Training Required: Excellent verbal, written and interpersonal communication skills a must. Problem-solving, consulting skills, teamwork, leadership, and creativity skills a must. Analytical mind with outstanding ability to collect and analyze data. Action Oriented Business Insight Instills Trust Manages Complexity Nimble Learning Persuades Plans and Aligns About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Job Description (JD) Digital Marketing Manager (Google & Meta Ads) Location: Delhi Company: Aertrip India Limited Annual Ad Budget: ₹1 – ₹10 Crore Role Overview As Digital Marketing Manager at Aertrip, you will lead paid advertising strategy and execution for Google and Meta platforms with a substantial ₹1–10 crore annual ad budget. The focus is on driving high ROI campaign performance, scaling traffic, and optimizing advertising investment across travel verticals. Key Responsibilities Campaign Strategy & Execution Design, plan, launch, and optimize campaigns across Google Ads (Search, Display, YouTube, Performance Max) and Meta Ads (Facebook & Instagram). Budget Management Forecast, allocate, and optimize spend within ₹1–10 crore/year to meet KPIs like ROAS, CPA, CPL, and CAC. Optimization & Testing Conduct ongoing A/B testing on creatives, copy, audience segments, and landing pages to improve conversion funnels. Analytics & Reporting Track metrics using Google Analytics 4, GTM, and Meta Pixel. Report insights regularly with strategic recommendations. Audience Strategy Build and manage targeting via custom audiences, lookalikes, and retargeting across stages of the travel booking funnel. Cross-functional Collaboration Work closely with creative/design, content, web, and product teams to ensure campaigns align with brand messaging and conversion objectives. Platform & Industry Awareness Stay updated on changes and best practices from Google and Meta ad platforms, and travel industry trends. Qualifications & Experience 3–8 years of hands-on experience managing Google and Meta Ads in performance marketing roles. Proven experience optimizing large-scale ad spend and driving measurable return in digital campaigns. Background in travel, D2C, or ticketing—understanding customer booking journeys is a plus. Proficiency in GA4, Google Tag Manager, Meta Pixel, and UTM tagging. Certified in Google Ads and Meta Blueprint Certification preferred. Strong analytical mindset; proficient with Excel, Google Sheets, Data Studio / Looker Studio. Tools & Skills Google Ads, Google Analytics 4, Google Tag Manager Meta Ads Manager, Meta Business Suite, Meta Pixel Reporting & Dashboard Tools: Excel, Google Sheets, Looker/Data Studio Performance Metrics & Targets ROAS : Expect incremental improvement through optimized campaign scaling. CPA / CPL : Target range ₹500–₹2,500 depending on campaign type and funnel stage—typical benchmarks for travel industry. Monitor KPIs like click-through rates, conversion rates, and retention metrics post-booking. Why Join Aertrip? Lead high-impact advertising campaigns with substantial budgets. Work at the intersection of travel and performance marketing with Aertrip’s tech-forward product. Collaborate with a dynamic, multidisciplinary team across creative and product functions. Clear advancement opportunities into senior roles like Head of Paid Media or Marketing Lead. Job Type: Full-time Pay: ₹15,174.57 - ₹40,000.00 per month Benefits: Health insurance Work Location: In person

BACKGROUND The Hans Foundation (THF), established in 2009, is a Public Charitable Trust that works towards creating an equitable society to enhance quality of life for all through the empowerment of marginalized and underprivileged communities in India. The Hans Foundation works for the Health and Wellbeing of remote and under-served groups, with an additional focus on children, persons with disabilities and women. THF also works for holistic Education and Livelihood development of our communities. Our Two-Fold Strategy involves identifying and working within Aspirational Districts and high poverty index in the North, North-East and East regions within specific states, as well as catering to lower-income and migratory populations in cities, through urban programs. Over its 15 years of existence, THF has reached more than 40 million beneficiaries through its programs. THF works with communities through direct implementation of projects on the ground in addition to providing local management and monitoring support to not-for-profit organizations in India funded through THF USA and RIST. GENERAL Location of Job: Gurugram Department: Monitoring & Evaluation Project: RO Delhi - MEL Reporting to : Group Senior Manager Job Purpose : The position is responsible for overseeing the overall implementation of MEL function managed through Delhi Regional Office. S/he will be responsible to ensure and execution of scientific monitoring and evaluation of all the projects directly implemented. Support the Group Senior Manager and MEL Department (HO) in designing, implementing, and overseeing the MEL function for various projects. The role involves quality data collection, analysis, and reporting to inform programmatic decision-making and ensure effective project delivery. Duties & Responsibilities- The key responsibilities of this position are as given below: Assist in the development of the Monitoring, Evaluation and Learning (MEL) plan, data collection tools and their effective implementation. Oversee the quality data collection, analysis, and interpretation through preparing reports/presentations to track project/program progress and identify areas for improvement. Ensure the quality and accuracy of project/program data and reports through regular data quality assessments, verification and validation exercises. Review, analyze, and present findings from monitoring reports and other collected data to identify insights and provide inputs on project/program implementation strategy. Contribute to the preparation of regular progress reports and other documentation as required by donors or stakeholders. Assist in promoting the digital transformation activities for data collection and visualization/dashboards. Provide technical assistance and training to program staff on various MEL reporting tools. Facilitate coordination with the research agencies/consultants/interns for smooth execution of various research studies including baseline/midline/endline, need assessment, impact studies, nimble studies etc. Plan and undertake regular project/program monitoring through field visits, review meetings and provide guidance/feedback to the project/program team. Facilitate to capture best practices and learning document and disseminate with the stakeholder. Educational Qualifications Master’s degree in social science / population studies / demography / bio-statistics / statistics or related subjects from a reputed educational institution. Functional/Technical Skills and Relevant Experience & Other requirements (Behavioral, Language, Certifications etc.) Minimum 3 to 5 years of experience in monitoring and evaluation. Knowledge on MEL Plan, logical framework, theory of change, research design & methodology. Demonstrated skills in development of data collection tools, data analysis and report writing. And Proven experience in large scale data collection and data management. Experience in implementing qualitative and quantitative research and monitoring quality data collection in the field. Understand the basics of statistics, interpretation and analytical skills. Proficiency in data analysis tools like SPSS, STATA, R or Python. Hands-on experience on Advanced Excel, MS Word, MS PowerPoint, Data Collection Tools: KoBo Tool Box / ODK / CommCare / Google Form and Data Visualization Tools: MS Power BI / Google Looker Studio / Tableau etc. THF is an equal opportunity employer that encourages women, people with disabilities and those from economically and socially excluded communities with the requisite skills and qualifications to apply for positions. We do not discriminate in employment on the basis of caste, creed, religion, sex, sexual orientation, marital status, disability, or any other such matter.

Company Description OUTDO Agency is your partner in digital domination, specializing in dynamic, result-driven marketing solutions. Our expertise spans content writing, graphic designing, SEO marketing, digital marketing, social media marketing, and website design and development. Our creative team consistently thinks outside the box to develop innovative strategies that help our clients outperform. We offer personalized marketing plans tailored to each business's unique goals and target audience. Role Description This is a full-time, on-site role for a Performance Marketer located in Ahmedabad. The Performance Marketer will be responsible for developing and executing performance marketing campaigns. Daily tasks include but not limited to analyzing campaign results, optimizing strategies, managing budgets, conducting A/B testing, and collaborating with the content and design teams to ensure alignment with overall marketing goals 🎯 What You’ll Own: You’ll work directly with the founder and manage ad campaigns across Google, Meta, and more — for clients in SaaS, BFSI, Real Estate, and more End-to-end campaign execution (Google Search, Display, Meta Ads) Daily optimization to improve CPL, CTR, ROAS Keyword planning, audience targeting, and ad testing Campaign reporting using Looker Studio + internal templates Collaborate with our in-house design + content teams for creatives Run A/B tests, spot fatigue, and suggest sharp creative angles Weekly performance reviews and improvement planning ✅ You’re a Great Fit If You: Have 2 –5 years of hands-on experience running Google & Meta campaigns Can read metrics and know what to do when ROAS/CPL dips Are structured with reporting and daily reviews Know how to manage budgets, spot waste, and adjust fast Communicate clearly (we hate waiting and guessing) Have experience with tools like Looker Studio, Google Sheets (or are quick to learn) 🌍 Bonus Points: Worked with B2B or international clients (UAE, Asia, US) Know how to create ad hooks or collaborate with copy/design Have handled campaigns with 6-figure budgets Experience with social media marketing and SEO is a plus.

We're Hiring: Digital Marketing Specialist 📍 Location: Kolkata 🕒 Type: Full-Time About the Role: We’re looking for a data-driven, ROI-focused Performance Marketer to lead our digital marketing initiatives across multiple channels. You'll be responsible for driving measurable growth through paid campaigns, improving key performance indicators, and optimizing spend across platforms like Google Ads, Meta, LinkedIn, and more. Key Responsibilities: Campaign Management & Optimization Plan, launch, and optimize digital campaigns across PPC, paid social, email, display, and affiliate channels. Continuously test ad creatives, landing pages, and audience segments to maximize campaign performance. Data Analysis & KPI Reporting Analyze performance metrics such as ROAS, CPA, CPL, CTR, and conversion rates. Generate actionable insights to improve campaign effectiveness and reduce acquisition costs. Deliver weekly/monthly campaign performance reports to stakeholders. Budget & ROI Management Manage marketing budgets with a strong focus on ROI and cost-efficiency. Forecast and allocate budget across channels to maximize performance. A/B Testing & Experimentation Run structured experiments to optimize ad copy, targeting, and bidding strategies. Identify and scale winning strategies while cutting underperforming efforts. Strategy & Cross-Functional Collaboration Develop performance marketing strategies aligned with overall business goals. Work closely with product, sales, content, and analytics teams to drive cohesive marketing efforts. Continuous Learning & Market Research Stay updated on the latest trends in digital marketing, platform updates, and competitive landscape. Bring innovative ideas to improve campaign performance and audience targeting. Key Performance Indicators (KPIs): Increase qualified lead volume by X% within Y months Reduce Cost Per Acquisition (CPA) by X% within Y months Improve Return on Ad Spend (ROAS) to X within Y months Grow website traffic from paid channels by X% quarter-over-quarter Enhance conversion rate on landing pages by X% What We’re Looking For: 3–5+ years of hands-on experience in performance marketing or paid media. Expertise in Google Ads, Meta Ads Manager, LinkedIn Ads, and analytics platforms. Strong understanding of funnel strategies, attribution models, and customer acquisition. Proficiency in data tools (Google Analytics, Looker Studio, etc.) and A/B testing. Strategic mindset with a roll-up-your-sleeves attitude.

About Us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What Role You Will Play In Our Team A highly analytical and technically skilled FP&A Data Integration Analyst to join our Finance team. This role bridges financial planning and data engineering by integrating data from multiple systems to support forecasting, budgeting, and strategic decision-making.The ideal candidate will have a strong foundation in finance, data modeling, and ETL (Extract, Transform, Load) processes. What You Will Do Key Responsibilities: Design, build, and maintain data pipelines to integrate financial and operational data from various sources (ERP, CRM, BI tools, etc.). Collaborate with IT, data engineering, and business teams to ensure seamless data flow into FP&A models and dashboards. Support the budgeting, forecasting, and long-range planning processes with integrated, real-time data. Develop and maintain financial models and dashboards using tools like Power BI, Tableau, or Looker. Perform data validation and reconciliation to ensure accuracy and consistency across systems. Automate recurring financial reports and data refresh processes. Conduct variance analysis and scenario modeling using integrated datasets. Identify opportunities to improve data quality, structure, and accessibility for financial analysis. Document data flows, integration logic, and financial data definitions. About You Required Skills and Qualifications: Bachelor’s degree in Finance, Accounting, Data Science, Computer Science, or a related field. Minimum 3 years of experience in FP&A, data analytics, or data integration roles. Proficiency in SQL and experience with ETL tools (e.g., Alteryx, Talend, Apache Airflow). Strong understanding of financial principles and planning processes. Experience with ERP systems (Job Title: Data Analyst (FP&A) Strong understanding of financial principles and planning processes. Experience with ERP systems (e.g., SAP, Oracle, NetSuite) and data warehouses (e.g., Snowflake, Redshift). Advanced Excel skills and experience with BI tools (e.g., Power BI, Tableau). Familiarity with Python or R for data manipulation is a plus. Excellent communication and cross-functional collaboration skills. Preferred skills / experience: Familiarity with cloud platforms (AWS, Azure, or GCP) and data warehouses (e.g., Snowflake, Redshift) Proficiency in Python or R for data manipulation and automation Exposure to financial planning tools (e.g., Workday adaptive, Anaplan, Adaptive Insights, oracle Hyperion) Background in SaaS, e-commerce, or data-driven industries Strong understanding of financial reporting standards and compliance Ability to work in a fast-paced, cross-functional environment and data warehouses (e.g., Snowflake, Redshift). Advanced Excel skills and experience with BI tools (e.g., Power BI, Tableau). Familiarity with Python or R for data manipulation is a plus. Excellent communication and cross-functional collaboration skills. Your Benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Key Responsibilities Business Process Analysis Design and maintain comprehensive analytics frameworks for business processes and financial workflows Develop dashboards and reports that provide real-time insights into key business metrics Analyze user interaction patterns with AI features to improve adoption and effectiveness Create and maintain ETL pipelines (if necessary) to ensure data quality and accessibility Generate actionable insights from complex financial datasets to guide product strategy AI Platform Analysis Develop and implement frameworks to evaluate the performance of LLM-based systems and AI agent.s Analyze AI model outputs, response quality, and automation effectiveness Track and report on key AI performance metrics such as accuracy, latency, and automation rates Collaborate with ML engineers to identify areas for model improvements based on data insights Create dashboards for monitoring AI system performance and reliability Conduct A/B testing of different AI configurations and prompt strategies Strategic Impact Provide data-driven recommendations for improving both AI capabilities and business processes Partner with product teams to define and track success metrics for AI features Collaborate with customer success teams to analyze user feedback and AI system effectiveness Build and maintain documentation for AI performance metrics and analytics processes Qualifications Required Qualifications 5+ years of experience in data analysis, with recent exposure to AI/ML systems Strong proficiency in SQL and Python for data manipulation and analysis Experience analyzing AI/ML system performance and metrics Expert-level experience with business intelligence tools (e.g., Tableau, Power BI, Looker) Experience working with large-scale financial datasets and ETL processes Strong statistical analysis skills and experience with A/B testing Experience with cloud-based data warehouses (preferably Snowflake) Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field Preferred Qualifications Experience analyzing LLM-based systems and generative AI applications Knowledge of NLP metrics and evaluation frameworks Experience with financial systems and processes (AP, AR, Vendor Management) Familiarity with prompt engineering and LLM performance optimization Experience with real-time analytics and streaming data Knowledge of data privacy and compliance requirements in finance Master’s degree in related field Technical Skills Data Analysis & Visualization Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly, Dash) SQL (expert-level analytics) Tableau/Power BI/QuickSight Excel (advanced) AI/ML Analytics LLM evaluation metrics AI monitoring frameworks Prompt effectiveness analysis Data Infrastructure Snowflake or similar data warehouses AWS/Azure data services Experience with ETL tools and frameworks Data modeling Statistics & Testing Statistical analysis A/B testing Hypothesis testing Experimental design Skills: llm evaluation metrics,data,etl,analytics,cloud-based data warehouses,ai monitoring frameworks,statistical analysis,power bi,a/b testing,looker,tableau,etl processes,data analysis,ai,sql,python

Stellites Technologies , a beacon in the IT service industry for over 7 years, prides itself on delivering unparalleled service to our international clientele. Deriving our name from the combination of "Star" and "Developer," we embody excellence in every project we undertake. At Stellites, we believe in the power of employee empowerment; understanding that with the right blend of skills and motivation, our team can achieve outstanding results for our clients. Our commitment to fostering a supportive and enriching work environment is evident in our impressive average retention rate of 4 years per employee. In the wake of COVID-19, we've seamlessly transitioned to a fully remote work setup, embracing the flexibility and efficiency it brings to our operations. Job Title: Paid Marketing Executive / Specialist Location: Remote Timing : UK Shift Experience: 2–4 Years About The Role We are seeking a results-driven Paid Marketing Specialist to manage and scale performance marketing campaigns across Google, Meta (Facebook/Instagram), and other digital platforms. You'll be working directly with our internal team and client to drive traffic, generate high-quality leads, and improve ROAS through ongoing testing, optimization, and strategy refinement. Key Responsibilities Plan, execute, and manage paid ad campaigns across Google Ads, Facebook/Instagram, and other platforms as needed Analyze performance metrics and create actionable strategies to optimize CPL, CTR, CAC, and ROAS Design and run A/B tests for ad creatives, targeting, bidding, and landing pages Conduct keyword research, audience segmentation, and competitor analysis Collaborate with content and design teams to create ad copies, creatives, and funnels Prepare weekly/monthly performance reports with insights and next steps Suggest improvements to landing pages, ad funnels, and pixel setups Requirements 2–4 years of hands-on experience in running ROI-focused campaigns on Google & Meta platforms Strong knowledge of ad campaign structures, bidding strategies, and conversion tracking Proficient in using Google Ads Manager, Facebook Ads Manager, and Google Analytics Good understanding of eCommerce metrics (ROAS, LTV, CAC, etc.) Ability to interpret data and turn insights into actionable strategies Excellent communication skills, attention to detail, and accountability Nice to Have Familiarity with tools like SEMrush, Canva, etc. Knowledge of UTM tracking, GA4, Tag Manager, and Looker Studio (Data Studio) Experience in landing page CRO and funnel optimization Capability to manage modest budgets and scale efficiently

Role : Lead Data Analyst Experience : 5 To 10 Years Location : Hyderabad ( Hybrid ) Key Responsibilities : 1. Hands-On Data Analysis & BI Development (Individual Contributor) : ○ Design and develop dashboards, reports, and data models using BI tools (e.g., Metabase, Power BI, Tableau, Looker). ○ Write complex SQL queries to extract, clean, and analyze data from multiple sources. ○ Conduct in-depth analyses of product usage, user behavior, and model performance metrics, turning data into clear, actionable insights. 2. Team Mentoring : ○ Mentor and develop a small team of data analysts/BI developers, providing guidance on best practices and career growth. ○ Foster a collaborative team culture that values learning, innovation, and continuous improvement. 3. Analytics Strategy & Execution ○ Partner with Product, Engineering, Finance, and other teams to identify key analytics use cases, define success metrics, and track performance. ○ Develop and maintain a roadmap for analytics projects, balancing short-term requests with long-term strategic initiatives. ○ Champion a data-driven culture across the company, promoting the use of analytics tools and methodologies. 4. Data Infrastructure & Governance ○ Collaborate closely with Data Engineering to ensure the data warehouse and data pipelines are efficient, scalable, and reliable. ○ Advocate for and implement best practices in data quality, security, and governance. 5. Cross-Functional Collaboration ○ Work with Finance to provide accurate usage data for billing and revenue operations. ○ Support Customer Success with ad-hoc analysis requests and custom reporting for key clients. ○ Partner with Product and Engineering teams to refine data collection and improve product analytics capabilities. 6. Stakeholder Communication ○ Present analyses, findings, and recommendations to leadership in both technical and non-technical terms. ○ Serve as the subject matter expert on analytics tools, methods, and data interpretation for internal stakeholders. Required Qualifications ● Education: ○ Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related). ● Experience: ○ 5+ years of experience in data analytics and business intelligence ○ 1+ years of experience in a leadership or mentoring capacity (formal or informal). ○ Hands-on experience building dashboards and writing complex SQL queries. ● Technical Skills: ○ Proficiency with BI tools (e.g., Metabase, Power BI, Tableau, Looker) for data visualization and dashboard development. ○ Strong SQL skills and familiarity with data warehousing concepts. ○ Understanding of data modeling, ETL/ELT pipelines, and cloud-based data platforms (e.g., Redshift, Snowflake, BigQuery). ○ Nice-to-have: Experience with Python/R for advanced analytics or machine learning. ● Soft Skills: ○ Excellent communication and presentation skills; able to translate complex data findings into clear insights for varied audiences. ○ Strong leadership qualities, with a proven ability to mentor junior team members. ○ Organizational and project management skills to handle multiple initiatives in a fast-paced environment. Interested candidates can send their resumes on td@rwindia.co

Company Description Design Fundaz Global Pvt. Ltd. is a dynamic team of writers, developers, and innovators dedicated to understanding people, brands, and data. We help brands get online, launch campaigns, generate leads, and grow, offering services that span content, distribution, insight, and technology. With a proven methodology to consistently deliver ROI, we aim to be your trusted partner in creating compelling experiences that transform your brand. Our dedication and experience empower us to bring your digital marketing visions to life. Role Summary The Social Media Growth Champ owns our multi-platform social presence—organic + paid + community. You will develop thumb-stopping content, architect platform-native growth systems, read algorithm shifts before they trend on LinkedIn, and turn signals (watch time, saves, shares, comment velocity) into repeatable growth loops that move real business metrics: awareness, traffic, leads, revenue, and loyalty. Key Outcomes In your first 6–12 months, you will: Deliver consistent MoM growth in high-quality followers across priority platforms (define % targets by platform/region). Improve engagement rate and meaningful interactions (comments, shares, saves) vs. baseline. Increase social-driven site traffic and/or attributable conversions (lead gen, e-comm, signups). Stand up an experimentation framework (creative x format x timing x audience) with weekly learnings. Establish influencer/creator collaborations that expand reach and credibility. Build a real-time social listening + rapid response playbook (culture, trends, brand mentions). Translate platform analytics into exec-level insights tied to business KPIs. Core Responsibilities Strategy & Planning Own platform mix strategy (TikTok, Instagram Reels, YouTube Shorts/Longform, LinkedIn, X/Twitter, Facebook, Pinterest, Threads, emerging apps). Map audience segments to platform behaviors and funnel stages. Develop channel-specific content architectures (formats, hooks, CTAs, retention mechanics). Content & Creative Ideate + script short-form video, meme formats, carousels, live sessions, stories, polls. Build creator-native briefs that perform within each platform’s algorithmic incentives. Partner with design/video teams or create scrappy in-app content yourself when speed matters. Algorithm Intelligence & Optimization Monitor signal drivers: watch time %, completion rate, replays, saves, shares, comment quality, dwell time, click-through, frequency of posting, topical freshness. Use A/B content tests + posting cadences to capitalize on ranking signals. Tag, track, and iterate based on platform insights dashboards + 1st/3rd-party tools. Paid + Organic Integration Partner with performance marketing to amplify best-performing organic posts. Build retargeting pools from engaged viewers. Test spark ads/boosting, creator whitelisting, and dark posts. Community & Conversation Respond in brand voice; escalate support/crisis issues quickly. Cultivate UGC and ambassador loops. Run polls, challenges, duet/stitch calls to action, and comment-to-DM conversion flows. Trends & Culture Track trending audio, meme patterns, hashtag clusters, platform launches. Rapidly prototype content to ride waves while staying on-brand. Measurement & Reporting Build weekly dashboard: reach, engagement quality, follower velocity, traffic lift, lead attribution, share of voice, sentiment. Translate data to narrative: what we tried, what we learned, what’s next. Required Experience 3–5+ years running multi-platform social for brands, creators, agencies, or startups (exception: breakout creators with demonstrated results welcome even if fewer years). Proven track record scaling at least one account from X → 10X (include metrics in application). Deep, hands-on experience with short-form video platforms (TikTok, Reels, Shorts). Familiarity with paid social buying basics (ads manager, boosting, spark/whitelist campaigns). Analytics fluency: platform insights, UTM tracking, GA4, social listening tools, audience segmentation. Content production: comfortable shooting vertical video on phone + basic editing. Nice-to-Have / Bonus Skills Experience in B2B and consumer social (adjust message by segment). Social commerce + live shopping. Influencer sourcing/contracting. Tools Stack Must know: Native platform analytics, Meta Business Suite, TikTok Creative Center, YouTube Studio, LinkedIn analytics. Great if you know: Sprout Social / Sprinklr / Hootsuite / Later, Dash Hudson, Klear/Grin (influencers), Brandwatch / Talkwalker (listening), Notion / Airtable (content calendar), Google Analytics, Looker/Mode (reporting). Traits We Love Obsessed with the “why” behind virality (you reverse-engineer). Rapid experimenter : ship, learn, pivot. Hybrid creative + quant brain : comfortable moving between storyboard and spreadsheet. Community-first energy : you reply, riff, stitch, and build relationships. Comfortable on camera (or with directing talent who is). Culture-tuned but brand-safe judgment. Systems thinker : builds repeatable growth loops, not one-off hits.

Job Description (JD) Digital Marketing Manager (Google & Meta Ads) Location: Delhi Company: Aertrip India Limited Annual Ad Budget: ₹1 – ₹10 Crore Role Overview As Digital Marketing Manager at Aertrip, you will lead paid advertising strategy and execution for Google and Meta platforms with a substantial ₹1–10 crore annual ad budget. The focus is on driving high ROI campaign performance, scaling traffic, and optimizing advertising investment across travel verticals. Key Responsibilities Campaign Strategy & Execution Design, plan, launch, and optimize campaigns across Google Ads (Search, Display, YouTube, Performance Max) and Meta Ads (Facebook & Instagram). Budget Management Forecast, allocate, and optimize spend within ₹1–10 crore/year to meet KPIs like ROAS, CPA, CPL, and CAC. Optimization & Testing Conduct ongoing A/B testing on creatives, copy, audience segments, and landing pages to improve conversion funnels. Analytics & Reporting Track metrics using Google Analytics 4, GTM, and Meta Pixel. Report insights regularly with strategic recommendations. Audience Strategy Build and manage targeting via custom audiences, lookalikes, and retargeting across stages of the travel booking funnel. Cross-functional Collaboration Work closely with creative/design, content, web, and product teams to ensure campaigns align with brand messaging and conversion objectives. Platform & Industry Awareness Stay updated on changes and best practices from Google and Meta ad platforms, and travel industry trends. Qualifications & Experience 3–8 years of hands-on experience managing Google and Meta Ads in performance marketing roles. Proven experience optimizing large-scale ad spend and driving measurable return in digital campaigns. Background in travel, D2C, or ticketing—understanding customer booking journeys is a plus. Proficiency in GA4, Google Tag Manager, Meta Pixel, and UTM tagging. Certified in Google Ads and Meta Blueprint Certification preferred. Strong analytical mindset; proficient with Excel, Google Sheets, Data Studio / Looker Studio. Tools & Skills Google Ads, Google Analytics 4, Google Tag Manager Meta Ads Manager, Meta Business Suite, Meta Pixel Reporting & Dashboard Tools: Excel, Google Sheets, Looker/Data Studio Performance Metrics & Targets ROAS : Expect incremental improvement through optimized campaign scaling. CPA / CPL : Target range ₹500–₹2,500 depending on campaign type and funnel stage—typical benchmarks for travel industry. Monitor KPIs like click-through rates, conversion rates, and retention metrics post-booking. Why Join Aertrip? Lead high-impact advertising campaigns with substantial budgets. Work at the intersection of travel and performance marketing with Aertrip’s tech-forward product. Collaborate with a dynamic, multidisciplinary team across creative and product functions. Clear advancement opportunities into senior roles like Head of Paid Media or Marketing Lead. Job Type: Full-time Pay: ₹15,174.57 - ₹40,000.00 per month Benefits: Health insurance Work Location: In person

We are looking for Senior Performance Marketing Manager at Brego Business, kindly apply if the following role and responsibility suits you: Key Responsibilities: Develop and own the end-to-end performance marketing strategy across paid media (Google, Meta, LinkedIn, programmatic, etc.) to drive customer acquisition and revenue growth. Closely work on checking all campaign with the team to find problem area and help client scaling. Build, mentor, and scale a high-performing performance marketing team. Define roles, processes, and KPIs for the department. Own the performance marketing budget. Forecast CAC, ROAS, and channel-wise spends. Lead campaign planning, setup, execution, and continuous optimization across all digital channels. Leverage A/B testing, audience segmentation, and creative experimentation. Define reporting frameworks, dashboards, and insights to track performance and inform decisions. Translate numbers into strategic insights for leadership. Work closely with product, content, analytics, and design teams to align campaigns with business objectives and customer journeys. Identify and implement marketing tools, automation platforms, and analytics solutions that support scale and efficiency. Requirements : Minimum 8+ yrs of experience in Paid Media. Proven experience in building and scaling performance marketing departments (preferably at a startup or high-growth company). Deep understanding of paid marketing platforms (Google Ads, Meta Ads, meta, LinkedIn, Twitter, Taboola, DV 360, snapchat, amazon, snapchat, flipkart etc.) and data analytics tools (GA4, Google Data Studio, Looker, etc.). Should be proficient in Excel and Google studio. Should have done media planning activity in the past. Should have worked with at least a 30+ team. Strong business acumen and analytical mindset and ability to turn data into actionable insights. Excellent leadership, communication, and team-building skills. Preferred Qualifications: Experience in B2C/D2C/e-commerce/SaaS is a strong plus Familiarity with attribution modeling, marketing automation, and CRM tools Join Us! If you want to elevate your performance marketing career while leading high-impact campaigns and a motivated team, Brego Business is the place for you. Learn more: https://bregobusiness.com/ Job Types: Full-time, Permanent Pay: ₹900,000.00 - ₹1,200,000.00 per year Benefits: Provident Fund Schedule: Day shift Monday to Friday Morning shift Application Question(s): How many years of experience do you have in Campaign Auditing & Reporting Experience: Performance Marketing: 8 years (Required) Location: Mumbai, Maharashtra (Required) Work Location: In person

The position is responsible for overseeing the overall implementation of MEL function managed through Delhi Regional Office. S/he will be responsible to ensure and execution of scientific monitoring and evaluation of all the projects directly implemented. S upport the Group Senior Manager and MEL Department (HO) in designing, implementing, and overseeing the MEL function for various projects. The role involves quality data collection, analysis, and reporting to inform programmatic decision-making and ensure effective project delivery. Duties & Responsibilities- The key responsibilities of this position are as given below: 1. Assist in the development of the Monitoring, Evaluation and Learning (MEL) plan, data collection tools and their effective implementation. 2. Oversee the quality data collection, analysis, and interpretation through preparing reports/presentations to track project/program progress and identify areas for improvement. 3. Ensure the quality and accuracy of project/program data and reports through regular data quality assessments, verification and validation exercises. 4. Review, analyze, and present findings from monitoring reports and other collected data to identify insights and provide inputs on project/program implementation strategy. 5. Contribute to the preparation of regular progress reports and other documentation as required by donors or stakeholders. 6. Assist in promoting the digital transformation activities for data collection and visualization/dashboards. 7. Provide technical assistance and training to program staff on various MEL reporting tools. 8. Facilitate coordination with the research agencies/consultants/interns for smooth execution of various research studies including baseline/midline/endline, need assessment, impact studies, nimble studies etc. 9. Plan and undertake regular project/program monitoring through field visits, review meetings and provide guidance/feedback to the project/program team. 10. Facilitate to capture best practices and learning document and disseminate with the stakeholder.  Educational Qualifications Master’s degree in social science / population studies / demography / bio-statistics / statistics or related subjects from a reputed educational institution. Functional/Technical Skills and Relevant Experience & Other requirements (Behavioral, Language, Certifications etc.) 1. Minimum 3 to 5 years of experience in monitoring and evaluation. 2. Knowledge on MEL Plan, logical framework, theory of change, research design & methodology. 3. Demonstrated skills in development of data collection tools, data analysis and report writing. And Proven experience in large scale data collection and data management. 4. Experience in implementing qualitative and quantitative research and monitoring quality data collection in the field. 5. Understand the basics of statistics, interpretation and analytical skills. 6. Proficiency in data analysis tools like SPSS, STATA, R or Python. 7. Hands-on experience on Advanced Excel, MS Word, MS PowerPoint, Data Collection Tools: KoBo Tool Box / ODK / CommCare / Google Form and Data Visualization Tools: MS Power BI / Google Looker Studio / Tableau etc.

Description As a key member of our team, you will support our product development teams with insights gained from analyzing company data with respect to potential opportunities for product and process optimization. You must have strong experience using a variety of data mining/data analysis methods. The Senior Data Scientist II will lead data modeling and machine learning projects using a variety of data tools, modeling approaches and algorithms. You will also design experiments to evaluate models by conducting AB testing and simulations. Key Responsibilities Able to translate product design requirements into pipeline of heuristic and stochastic algorithms Understand exploratory data analysis for product feasibility studies and ground truth testing Execute SQL queries and/or python scripts to manipulate, analyze and visualize data Able to implement explainable AI solutions and rationalize model inferences Follows SDLC processes, Adopt agile-based processes/meetings and peer code-reviews Works with Machine learning engineer/architect to deploy data products into production Follows and understands legal data use restrictions Contributes to algorithm library development and design for ML, NLP and XAI Delivers product pipelines for deployment to production Builds applications that integrate third party and self-hosted foundation models. Fine tunes open source foundation models (LLMs, VLMs) with proprietary data Develops autonomous AI inference and tool use orchestration using ReAct AI agents Provides root cause analysis for machine learning model inference Completes data analysis or processing tasks as directed Documents data product end to end design and development Data annotation, labeling and other related data generation activities Provides thought leadership for rest of team and seeks out opportunities to mentor more junior team members Presents and holds data product updates and trainings Updates team on data product performance Education & Experience Strong problem solving skills with an emphasis on product development. 6+ years of experience developing data science products Strong experience using and optimizing common python machine and deep learning libraries such as Scikit learn, PyTorch, TensorFlow, Keras, MXNet and Spark MLlib Experience using statistical computer languages (Python, R, Scala, SQL, etc.) to manipulate data and draw insights from large data sets. Hands-on generative AI development Experience using foundation models (LLMs, VLMs) Experience with model fine tuning of open source foundation models with proprietary data Experience leveraging AI metrics for monitoring and value tracking Knowledge of AI Agent frameworks with recent hands-on experience building an AI agent able to autonomously use data stores, tools and other AI models to solve inquiries. Deep knowledge of data science concepts and related product development lifecycle Experience using machine learning libraries such as TensorFlow, Keras, SparkML etc. Working knowledge of machine learning tuning optimization procedures Experience working with and creating data architectures. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Preferred Experience with big data analytical frameworks such as Spark/PySpark Experience analyzing data from 3rd party providers: Google Knowledge Graph, Wikidata, etc. Experience visualizing/presenting data for stakeholders using: Looker, PowerBI, Tableau, etc.

BACKGROUND The Hans Foundation (THF), established in 2009, is a Public Charitable Trust that works towards creating an equitable society to enhance quality of life for all through the empowerment of marginalized and underprivileged communities in India. The Hans Foundation works for the Health and Wellbeing of remote and under-served groups, with an additional focus on children, persons with disabilities and women. THF also works for holistic Education and Livelihood development of our communities. Our Two-Fold Strategy involves identifying and working within Aspirational Districts and high poverty index in the North, North-East and East regions within specific states, as well as catering to lower-income and migratory populations in cities, through urban programs. Over its 15 years of existence, THF has reached more than 40 million beneficiaries through its programs. THF works with communities through direct implementation of projects on the ground in addition to providing local management and monitoring support to not-for-profit organizations in India funded through THF USA and RIST. GENERAL Location of Job: Gurugram Department: Monitoring & Evaluation Project: RO Delhi - MEL Reporting to : Group Senior Manager Job Purpose : The position is responsible for overseeing the overall implementation of MEL function managed through Delhi Regional Office. S/he will be responsible to ensure and execution of scientific monitoring and evaluation of all the projects directly implemented. Support the Group Senior Manager and MEL Department (HO) in designing, implementing, and overseeing the MEL function for various projects. The role involves quality data collection, analysis, and reporting to inform programmatic decision-making and ensure effective project delivery. Duties & Responsibilities- The key responsibilities of this position are as given below: Assist in the development of the Monitoring, Evaluation and Learning (MEL) plan, data collection tools and their effective implementation. Oversee the quality data collection, analysis, and interpretation through preparing reports/presentations to track project/program progress and identify areas for improvement. Ensure the quality and accuracy of project/program data and reports through regular data quality assessments, verification and validation exercises. Review, analyze, and present findings from monitoring reports and other collected data to identify insights and provide inputs on project/program implementation strategy. Contribute to the preparation of regular progress reports and other documentation as required by donors or stakeholders. Assist in promoting the digital transformation activities for data collection and visualization/dashboards. Provide technical assistance and training to program staff on various MEL reporting tools. Facilitate coordination with the research agencies/consultants/interns for smooth execution of various research studies including baseline/midline/endline, need assessment, impact studies, nimble studies etc. Plan and undertake regular project/program monitoring through field visits, review meetings and provide guidance/feedback to the project/program team. Facilitate to capture best practices and learning document and disseminate with the stakeholder. Educational Qualifications Master’s degree in social science / population studies / demography / bio-statistics / statistics or related subjects from a reputed educational institution. Functional/Technical Skills and Relevant Experience & Other requirements (Behavioral, Language, Certifications etc.) Minimum 3 to 5 years of experience in monitoring and evaluation. Knowledge on MEL Plan, logical framework, theory of change, research design & methodology. Demonstrated skills in development of data collection tools, data analysis and report writing. And Proven experience in large scale data collection and data management. Experience in implementing qualitative and quantitative research and monitoring quality data collection in the field. Understand the basics of statistics, interpretation and analytical skills. Proficiency in data analysis tools like SPSS, STATA, R or Python. Hands-on experience on Advanced Excel, MS Word, MS PowerPoint, Data Collection Tools: KoBo Tool Box / ODK / CommCare / Google Form and Data Visualization Tools: MS Power BI / Google Looker Studio / Tableau etc. THF is an equal opportunity employer that encourages women, people with disabilities and those from economically and socially excluded communities with the requisite skills and qualifications to apply for positions. We do not discriminate in employment on the basis of caste, creed, religion, sex, sexual orientation, marital status, disability, or any other such matter.

The opportunity Unity is seeking a talented and experienced Senior Business Intelligence Developer to join our People Analytics & Systems team. As an expert in SQL, data engineering, and human resources data, you will play a critical role in building robust data pipelines, scalable self-service solutions, and supporting the back end of insightful dashboards that empower our People organization and leadership with data-driven decisions. If you are analytically minded, have a knack for optimizing processes, and possess a passion for building scalable solutions in the HR domain, we want to hear from you! What You'll Be Doing Design, develop, and maintain scalable data pipelines to support HR data modeling, metrics automation, and comprehensive dashboards, including crafting the infrastructure behind scalable self-service analytical solutions to enable robust insights discovery across all HR functions. Architect and lead the development of a dedicated data warehouse and associated data reporting layer for People Analytics, working in close partnership with Insights Analysts, and IT organization. Responsible for developing documentation and training to foster data literacy, alongside upholding stringent data governance and quality assurance to maintain the confidentiality, quality, integrity, and timeliness of all HR data. Partner with Insights analysts on requirements, project prioritization, and drive the timely completion of high-quality data products. Work with Enterprise Application Systems Engineer to build and own integrations from Workday to HR Data Warehouse. What We're Looking For Expert in data pipeline development from ingestion to insightful visualization with strong hands-on experience with data engineering principles, ETL practices, data warehousing, and tools (e.g., Fivetran). Advanced proficiency in SQL, with extensive experience in designing complex queries, optimizing performance, and building robust data models in Google Cloud Platform and Big Query. Proficiency in Python (or a similar programming language like R) for data manipulation, scripting, and automation. Extensive experience with data visualization tools such as Looker (preferred), Tableau, Qlik, or Power BI Demonstrated ability to gather requirements, prioritize tasks, and lead technical projects effectively. You might also have Excellent communication and interpersonal skills, with the ability to translate complex technical concepts into understandable insights for non-technical stakeholders, particularly within Human Resources. Familiarity with Big Data Infrastructures and cloud platforms (e.g., Google Cloud Platform (GCP), AWS, Azure) and specific tools like BigQuery, Spark. Experience working with HRIS systems (e.g., Workday, SAP SuccessFactors, etc.) and understanding of common HR data structures and metrics (e.g., headcount, attrition, diversity, compensation). Experience with advanced analytics, statistical modeling, or machine learning applications in the HR domain. Additional Information Relocation support is not available for this position. Work visa/immigration sponsorship is not available for this position. Life at Unity Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit www.unity.com. Unity is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, disability, gender, or any other protected status in accordance with applicable law. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #SEN

Selected Intern's Day-to-day Responsibilities Include Create interactive, visually engaging dashboards and reports using Power BI, Tableau, and Looker Studio. Work with data from multiple sources (Excel, SQL, APIs), ensuring it is clean and analysis-ready. Work with business analysts and stakeholders to understand reporting requirements. Support the creation of data models and visualizations to track KPIs and performance metrics. Identify trends, patterns, and insights from data to support strategic initiatives Ensure data accuracy and integrity across all reporting. Document data processes, dashboard designs, and reporting standards. About Company: Markytics is a team of highly qualified and passionate data science/ML professionals. At Markytics, our objective is to develop strategic partnerships with our clients and deliver improved profits and enhanced customer value by drawing on our strengths in data analytics and statistical modeling. We are a global analytics and insights provider firm that helps companies understand how and why their customers make decisions. We help companies to understand customer expectations, improve customer experience, and secure customer management. We strive to make data science accessible to and usable by everyone across small, medium, and large-scale enterprises.

3+ years of experience in a data analyst, business intelligence, or analytics engineering role. Expert-level proficiency in SQL is absolutely essential. You should be comfortable with complex joins, window functions, and query optimization. Proven experience with a modern BI platform like Power BI, Tableau, Looker, or Metabase, from data source connection to final dashboard design. Hands-on experience with dbt for data modeling and transformation. You should understand dbt's core concepts and workflows. Proficiency in Python for data analysis and automation, specifically with libraries like Pandas, NumPy, and Matplotlib. Strong analytical and problem-solving skills, with a demonstrated ability to translate business questions into analytical work and analytical work into business insights. Excellent communication skills, with the ability to present complex data stories to a non-technical audience. Preferred Skills & Experience (Nice-to-Haves) Experience querying data in a cloud data warehouse or serverless query engine (e.g., AWS Athena, Google BigQuery, Azure Synapse, Snowflake). Familiarity with version control using Git. Experience working directly with data from NoSQL databases like MongoDB. A solid understanding of data engineering concepts (e.g., data lakes, ETL vs. ELT, data ingestion). Experience conducting statistical analysis (e.g., A/B testing, regression analysis). Skills: mongodb,looker,snowflake,tableau,a/b testing,data analyst,bi dev,analytics,matplotlib,git,azure synapse,athena,aws athena,aws,python,power bi,azure,data,pandas,sql,concepts,google bigquery,numpy,automation,skills,dbt,metabase