3228 Looker Jobs - Page 28

Job Summary: We are seeking a detail-oriented and proactive MIS executive to join our team. The ideal candidate will have experience in managing and analyzing data, generating reports, and providing insights to support business decision-making. You will be responsible for maintaining and improving our management information systems to ensure data accuracy and efficiency. Key Responsibilities: Develop and manage MIS reports and dashboards, providing accurate and timely data to management and other stakeholders. Analyze complex data sets to identify trends, patterns, and insights that support strategic business decisions. Ensure the accuracy and integrity of data across various systems and databases. Collaborate with different departments to understand their reporting needs and develop customized solutions. Assist in the implementation and maintenance of MIS software and tools. Monitor system performance and troubleshoot issues as needed. Prepare and present reports and presentations to senior management. Stay updated with industry trends and best practices in MIS and data management. Preferred Skills: A Data Management Executive who is good with Excel and Google sheets. He should have knowledge of VLOOKUP, Macros , if possible. Should know Pivot tables. A background in mathematics with help. Proven experience as an MIS Executive or in a similar role. Knowledge of Looker Studio. Knowledge of FMS,IMS,PMS. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹60,000.00 per month Schedule: Day shift Morning shift Application Question(s): Your current salary? Are you comfortable with Noida Sec-62 location? Do you know about FMS,IMS,PMS? Work Location: In person

About the Role: We are looking for a skilled and experienced Data Analyst with 4+ years of hands-on experience in data analysis, reporting, and deriving business insights. The ideal candidate should have strong analytical skills, proficiency in data tools, and the ability to communicate insights that influence strategic decisions. Key Responsibilities: Analyze large and complex datasets to identify trends, patterns, and insights. Design and develop interactive dashboards and reports using tools like Power BI, Tableau, or Looker. Collaborate with business and product teams to understand data needs and deliver actionable insights. Automate and streamline reporting processes using SQL, Python, or other scripting tools. Monitor key business metrics and develop alerting systems for anomalies. Conduct root-cause analysis and make recommendations based on findings. Support A/B testing and performance evaluation of various initiatives. Translate data into clear visualizations and presentations for stakeholders. Required Qualifications: Bachelor’s degree in Computer Science or a related field. 4+ years of experience in a Data Analyst or similar role. Strong command over SQL and experience with relational databases. Proficiency in data visualization tools (Power BI, Tableau, Looker, etc.). Experience with Excel (advanced) and scripting languages like Python or R for data analysis. Solid understanding of statistical techniques and data modeling. Strong communication and presentation skills. Job Type: Full-time Pay: Up to ₹1,200,000.00 per year Work Location: In person Expected Start Date: 18/08/2025

Role Description This is a full-time on-site role for a Google Ads Specialist located in Lucknow. The Google Ads Specialist will be responsible for managing Google Ads campaigns, optimizing ad performance, analyzing data to make strategic decisions, and collaborating with the marketing team to drive results. Roles & Responsibilities: Plan, execute, and optimize Google Ads campaigns across Search, Display, YouTube, and Shopping networks. Conduct keyword research, audience targeting, and competitor analysis. Create compelling ad copies and A/B test variations for performance improvement. Monitor and analyze campaign performance, ensuring ROAS, CPA, and conversion goals are met. Generate detailed performance reports using Google Ads, Google Analytics, and Looker Studio (formerly Data Studio). Optimize landing pages in collaboration with designers and developers. Stay up-to-date with Google Ads trends, updates, and best practices. Assist in budget planning and allocation for ad campaigns. Collaborate with internal teams to align digital advertising strategies with business objectives. Skills & Qualifications Required: 3-5 years of proven experience managing Google Ads campaigns. Proficiency in Google Ads, Google Analytics, and Google Tag Manager. Strong analytical skills with a data-driven mindset. Basic understanding of conversion tracking and remarketing strategies. Excellent communication skills and attention to detail. Google Ads certification (Search, Display, or Video) is a plus.

About Verbaflo VerbaFlo is an innovative AI-driven company with a focus on revolutionizing Real Estate with AI. As we expand our operations and scale new heights, we are looking for a detail-oriented and strategic Finance Manager to join our dynamic team and manage the financial health of the organization. Role Overview We are seeking a highly skilled Business Analyst with hands-on experience in Metabase to help unlock actionable insights and build a data-first culture across the organization. Key Responsibilities Work with stakeholders to understand reporting needs and convert them into intuitive dashboards and visualizations using Metabase . Write and optimize SQL queries to extract, transform, and analyze data across multiple sources. Develop and maintain key business reports, KPI dashboards, and self-serve analytics in Metabase. Perform ad-hoc analysis to support business decisions across product, marketing, operations, and sales. Identify data gaps, inconsistencies, and opportunities to improve data reliability and availability. Collaborate with data engineering or dev teams to ensure data pipelines and schemas support reporting needs. Present findings in a clear and actionable manner to both technical and non-technical stakeholders. Qualifications & Experience Core Requirements: 4-5 years of experience as a Business/Data Analyst or similar role. Proven experience building and maintaining dashboards in Metabase. Proficiency in SQL and strong understanding of relational databases. Strong business acumen with the ability to frame problems and tell stories with data. Experience working with cross-functional teams in a fast-paced environment. Familiarity with tools like Excel/Sheets, Google Analytics, or product analytics platforms is a plus. Ability to effectively communicate complex ideas to technical and non-technical stakeholders while thriving in cross-functional teams. Bonus Points: Experience with version control (Git), basic scripting (Python), or other BI tools (Looker, Power BI). Understanding of data modeling or working with data warehouses like BigQuery, Redshift, etc. Exposure to product analytics and customer funnel metrics. Why Verbaflo? Be a part of an innovative, fast-growing AI startup. Work with a talented and diverse team in a collaborative environment. Competitive compensation and benefits. Opportunities for career growth and development. If you're passionate about AI and looking for an exciting opportunity to contribute to a rapidly growing company, we’d love to hear from you!

At bpost group, operational excellence is driven by smart data and scalable systems. As a leading logistics and e-commerce player in Belgium and beyond, we rely on data to balance network capacity, optimize yield, and ensure efficient service delivery across every step of our value chain. We are looking for an Operational Data Engineer to strengthen our Yield and Capacity Management team. In this hands-on role, you will design, develop, and maintain the data infrastructure that powers real-time decision-making and performance tracking across our operational landscape. Your work will directly support forecasting models, pricing intelligence, and capacity planning tools that are critical to both day-to-day efficiency and long-term profitability. If you thrive in high-impact environments, have a deep understanding of data engineering in operational contexts, and want to help shape the future of logistics through data, then we want to hear from you. Role Summary We are seeking a highly skilled and detail-oriented Data Engineer with a specialization in operational reporting and dashboarding. The ideal candidate will have 5–8 years of experience in designing, developing, and maintaining data pipelines and visual analytics solutions that empower decision-making. This role requires a solid foundation in data modeling, ETL development, and BI tools, along with the ability to work cross-functionally to deliver high-impact reporting solutions. Key Responsibilities Data Pipeline Development and Maintenance Design, build, and optimize robust ETL pipelines to support operational reporting requirements Ensure data quality, consistency, and integrity across sources and reporting outputs Automate data ingestion from various internal and external systems Reporting and Dashboarding Develop and maintain dashboards and reports in BI tools (e.g., Power BI, Tableau, Looker) Collaborate with business stakeholders to translate requirements into effective visualizations Optimize dashboard performance and user experience through best practices Data Modeling and Architecture Create logical and physical data models that support scalable reporting solutions Participate in the design and implementation of data marts and operational data stores Work closely with data architects to align with enterprise data strategy Cross-Functional Collaboration Partner with analysts, product managers, and operations teams to define reporting KPIs Ensure consistent definitions and calculations across different business units Support ad hoc analytical requests and provide technical insights when needed Governance and Best Practices Implement and advocate for data governance practices including data cataloging and lineage Define and enforce reporting standards and data documentation Participate in peer code and dashboard reviews Qualifications Experience: 5–8 years of experience in data engineering or business intelligence engineering roles Proven track record in building scalable reporting systems and maintaining dashboards for operational use Technical Skills: Solid experience with SQL, capable of writing complex queries and understanding database structures across various SQL dialects (e.g., Oracle, MySQL, PostgreSQL). Strong experience with SQL, Python, and modern ETL frameworks (e.g., dbt, Apache Airflow) Understanding of data orchestration concepts and experience with Airflow (or similar tools like Prefect, Dagster). Proficiency in at least one BI tool (Power BI, Tableau, or Looker) or similar technology for dashboard and report development. Knowledge of cloud data platforms (AWS Redshift, Google BigQuery, Databricks, Snowflake, or Azure Synapse) Familiarity with version control and CI/CD pipelines for data Exposure to or understanding of streaming data concepts, ideally with Kafka. Soft Skills: Excellent communication and stakeholder management skills Strong problem-solving capabilities and attention to detail Ability to manage multiple projects and meet tight deadlines Preferred Skills Experience with real-time data processing frameworks (e.g., Kafka, Spark Streaming) Exposure to data observability and monitoring tools Understanding of data privacy and compliance requirements (e.g., GDPR, HIPAA)

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements. We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together. Job Summary Data & Analytics Team is a central team comprised of Data Engineering, Data Platform/Technologies, Data Analytics, Data Science, Data Product, and Data Governance practices. This team serves the enterprise that includes sales, finance, marketing, customer success, product and more. The team serves as a core conduit and partner to operational systems that run the business including Salesforce, Workday and more. IT Manager Data Analytics, plays a pivotal role within the Enterprise Data & Analytics organization at Genesys. This role is responsible for leading a team of analysts and driving delivery of impactful analytics solutions that support enterprise functions including sales, finance, marketing, customer success, and product teams and will oversee day-to-day analytics operations, coach and mentor a team of analysts, and collaborate closely with stakeholders to ensure alignment of analytics deliverables with business goals. The ideal candidate brings hands-on analytics expertise, a passion for data storytelling, and a track record of managing successful analytics teams. Job Responsibilities Lead and mentor a team of analytics professionals, fostering a collaborative and high-performing culture. Promote & drive best practices in analytics, data visualization, automation, governance, and documentation. Translate business needs into actionable data insights through dashboards, visualizations, and storytelling. Partner with enterprise functions to understand goals, define key metrics, and deliver analytics solutions that inform decision-making. Manage and prioritize the team’s project backlog, ensuring timely and quality delivery of analytics products. Collaborate with data engineering and platform teams to ensure scalable and reliable data pipelines and sources. Contribute to the development and maintenance of a shared analytics framework and reusable assets. Advocate for self-service analytics and data literacy across the business. Ensure compliance with data privacy, governance, and security policies. Requirements 8+ years relevant experience with Bachelor's / Master's degree in a natural science (computer science, data science, math, statistics, physics. etc.) Proven ability to lead and inspire analytics teams, delivering results in a fast-paced, cross-functional environment. Strong proficiency in BI and visualization tools (e.g., Looker, Tableau, QuickSight, Power BI). Solid understanding of cloud data platforms and big data ecosystems (e.g., AWS, Snowflake, Databricks). Strong business acumen and the ability to communicate technical concepts clearly to non-technical stakeholders. Experience building and managing stakeholder relationships across multiple departments. Adept at SQL and data modeling principles Experience with statistical scripting languages (Python preferred) Familiarity with Agile methodologies and project management tools (e.g., Jira, Confluence). Demonstrates a results-oriented mindset, take thoughtful risks, and approach challenges with humility and a hands-on, resourceful attitude Preferred Qualifications Creative, innovative and solution design thinking: You evaluate things holistically and think through the objectives, impacts, best practices, and what will be simple and scalable Excellent critical thinking, problem solving and analytical skills with a keen attention to detail. Skilled at running cross-functional relationships and communicating with leadership across multiple organizations Strong team player: ability to lead peers in accomplishment of common goals. If a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com. Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com. You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

Job Title: Market Research Intern – Data & Agentic AI Strategy About USEReady: USEReady is a global leader in Agentic AI services, empowering enterprises to harness the full potential of data and intelligent agents to drive innovation, efficiency, and growth. Our consulting solutions span data engineering, AI strategy, and digital transformation. We are seeking a highly motivated Market Research Intern to support our strategic initiatives with deep, data-driven insights into the evolving Data and AI landscape. Role Overview: As a Market Research Intern, you will collaborate with our Strategy and Innovation teams to explore emerging trends in Agentic AI, data platforms, and enterprise AI adoption. You will apply advanced research methodologies to analyze market dynamics, competitive positioning, and client needs in the rapidly evolving tech consulting space. Key Responsibilities: Conduct in-depth market research on Agentic AI, data engineering, cloud platforms, and digital transformation trends. Analyze competitive intelligence and benchmark leading players in the AI consulting and enterprise services space. Apply advanced techniques such as sentiment analysis, clustering, and predictive modeling to uncover insights. Support go-to-market strategies with data-backed recommendations. Design and analyze surveys, expert interviews, and secondary research to validate hypotheses. Create compelling dashboards and visual reports for internal stakeholders and leadership. Required Skills and Qualifications: MBA (or currently pursuing) from a top-tier institution, preferably with a focus in Strategy, Technology Management, or Analytics. Strong understanding of the Data & AI ecosystem, including Agentic AI, cloud platforms (Azure, AWS, GCP), and enterprise data solutions. Proficiency in data analysis tools such as Python, R, SQL, and Excel. Experience with data visualization tools like Tableau, Power BI, or Looker. Familiarity with market research techniques such as TAM/SAM/SOM analysis, SWOT, Porter’s Five Forces, and customer segmentation. Excellent communication and storytelling skills, with the ability to translate complex data into actionable insights. Self-starter with strong organizational skills and the ability to manage multiple priorities in a fast-paced environment. Prior experience in consulting, tech strategy, or analytics is a strong plus. What You’ll Gain: Exposure to cutting-edge Agentic AI and data consulting projects. Hands-on experience with strategic market research in a high-growth tech environment. Mentorship from industry leaders in AI, data science, and digital strategy. Opportunity to contribute to real-world business decisions and client engagements. How to Apply: Please submit your resume, a brief cover letter, and any relevant work samples or project portfolios to [application email or portal].

We're seeking a results-driven Digital Marketing Specialist who has hands-on experience running campaigns on multiple ad exchanges in the US market . You should be confident managing video, audio, and generic reach campaigns across various DSPs and platforms, with a proven track record of driving ROI and engagement. Responsibilities Maneuver digital marketing campaigns through all areas of the project life cycle Clearly understand and implement digital marketing campaigns that fit the client's needs Provide analytical reporting of campaigns to stakeholders Plan, execute, and optimize campaigns across video, audio, and display channels Manage programmatic advertising on multiple ad exchanges (e.g., The Trade Desk, DV360, Xandr, etc.) Develop full-funnel media strategies tailored to US consumer behavior Monitor performance metrics, A/B tests, and deliver actionable insights Collaborate with creative, data, and strategy teams to ensure unified messaging and targeting Stay updated with the latest trends and innovations in the US digital ad landscape Qualifications Minimum 3 years of hands-on campaign management for US-based audiences Experience across multiple ad exchanges and DSPs Strong knowledge of video, audio (e.g., Spotify, Pandora), and display advertising Expertise in targeting, segmentation, and attribution modeling An analytical mindset with proficiency in tools like Google Analytics, Excel, and Looker Studio Excellent communication and reporting skills Nice To Have Experience with CTV/OTT or DOOH campaigns Google Ads or Meta Ads certifications Familiarity with brand safety and viewability tools (IAS, MOAT, DoubleVerify) To Apply Send your resume, a short note on your US campaign experience, and case studies (if any) to [hello at akropin dot com]. Subject: Digital Marketing Specialist – US Market

We are looking for Sr. Performance Marketing Executive for our Paid Media team , Kindly apply if the following roles and responsibility suits you: Location: Lower Parel, Mumbai Job Role & Responsibilities: Execute & Operate High-return campaigns on Google, Meta, Linkedin and more with proficiency in both ecommerce & lead generation campaigns. Proven track record & success while spending a minimum monthly >INR 2 Lakhs per client. The experience & ability to multi-task and look over 4-5 accounts at the same time. The ability to analyze & report on data over various periods of time within the team and for clients as well Insight on performance and the ability to substantiate optimizations & improvements A Creative bent towards approaching Creatives & ad copies for clients A good hold on understanding consumer behavior, trends and best-case practices Versatile at management of diverse industries, including but not limited to D2C, Fashion & Real Estate Skills Requirement 3-5 years of experience in performance marketing, preferably in a digital marketing agency Knowledge of Dashboards & Conversion Tracking Tools such as Google Tag Manager, GA4, Meta Pixel, Meta Events manager(a plus point) Knowledge of tools like SEMrush, Moz, Looker Studio(a plus point) Leadership Qualities & Practicality Initiative & Eagerness to work If you are passionate to join us and eager to contribute your skills, we’d love to hear from you. For more information, visit: https://bregobusiness.com/ Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹50,000.00 per month Benefits: Provident Fund Schedule: Day shift Monday to Friday Morning shift Application Question(s): What is your Current CTC? What is your Expected CTC? How many days of notice period do you have? Experience: Paid Media: 4 years (Preferred) Location: Mumbai, Maharashtra (Required) Work Location: In person

We are looking for experienced GCP Data engineer with 3-6 years of experience. Key skill sets GCP environment and tools Hadoop/Hive/Pyspark Jenkins, GitHub and Jira. The candidates will be expected to run things independently after the initial period. Big preference to anyone who has worked with payments data/lending and credit/portfolio. Must have: one of the following with exposure to the other 2 years experience in Google BigQuery and GCP environment 2 years experience in Hadoop/Hive/PySpark Key Responsibilities Understand the business requirements and obtain source data required to successfully deliver insights and use cases. Determine the data mapping required to join multiple data sets together and if required, across multiple sources. Cleanse, process/review large amounts of data and validate to analyze and ensure quality of the same. Clearly communicate the outcome via presentations, pivots, reports. Closely work with developers, stakeholders, and management Leads to present data analysis results, assist in solution design and implementation. Understand and manage business/stakeholders requirements and expectations to ensure satisfaction in project initiatives deliverables. Contribute to team development, effectiveness, and success by sharing knowledge and best practice. Strong Candidates Will Preferably Have Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context. Prior experience or understanding of Payments Payments data (Priority 1), Accounts and Products (Priority 2), Credit Lending (Priority 3). Tools experience: Excel, Jenkins, Jira, Data Looker Studio and other Native GCP tools, JupyterHub Experience in presenting to non-technical audiences. Good knowledge of data lifecycle management (data collection, data processing, data analysis, visualize the data insights and presentation and ability to handle and manipulate large data sets. Strong work ethics with passion for delivery. Good to have - Understanding of Unix systems, Confluence. Employment Type Full-time Location: Pune Notice Period: 30 days/currently serving notice Note# ONLY CANDIDATES WITH GCP HANDON EXPERIENCE WILL BE CONSIDERED # This job is provided by Shine.com

Location: Remote/India Contractual role Role Summary We're looking for a sharp and hands-on Product & Game Analytics Specialist to own analytics at Battle Bucks . You’ll work primarily in Mixpanel to track and optimize player behavior, engagement loops, and feature performance across our multi-game ecosystem. You'll also use Looker Studio via Firebase for marketing attribution and install funnel analysis. This is a cross-functional role working closely with product, game design, backend, and marketing to make data-driven decisions across the entire player lifecycle — from install to tournament win to store redemption. Key Responsibilities Mixpanel: Product + Game Analytics Design and maintain a comprehensive event taxonomy for player actions across games (1v1, tournaments, store, mission flow). Collaborate with developers to ensure proper event instrumentation in Unity and backend. Build reports, funnels, cohorts, and retention dashboards for: Gameplay & tournament participation Mission completion & drop-offs Store engagement & gem spending Feature usage and conversion Analyze player progression, churn behavior , and monetization patterns . Track impact of new features (e.g., seasonal leaderboards, reward tiers) with event-driven insights. 📈 Looker Studio via Firebase: Marketing Attribution Create dashboards for: Installs by source/campaign Session depth and early retention Platform/country-level breakdowns Monitor attribution health and help optimize UA spend using Firebase and GA4 data. Surface top-of-funnel trends to marketing and growth teams. 🎮 Cross-Team Collaboration Work with game designers to evaluate engagement loops and tuning decisions. Support product team in evaluating A/B tests and post-launch KPIs. Align with marketing on campaign tracking, attribution gaps, and install trends. ✅ What We’re Looking For 2–4 years of experience in product or game analytics . Advanced experience with Mixpanel (event schema design, cohorts, funnels, retention). Solid understanding of Firebase and Looker Studio integration for marketing attribution. Strong grasp of game KPIs : DAU/WAU, retention, ARPU, LTV, feature usage. Ability to explain insights to non-data stakeholders and influence decisions. Bonus: SQL and experience with mobile attribution or CDPs (like Appsflyer, Segment). 💎 Why Join Battle Bucks? Shape the analytics foundation for one of India’s most unique gaming commerce platforms. Directly influence product design and feature success across multiple genres and formats. Work with passionate developers and game designers in a fast-moving environment.

Location: Marol, Andheri (E), Mumbai Experience: 5+ Years Employment Type: Full-Time, In-Office Industry: Travel Tech / Consumer Apps About Us At Action Tour Guide , we build award-winning GPS audio tour apps used by travelers around the world. As we scale our global footprint, we are looking for a data-driven professional to help organize, interpret, and present operational and business data to support decision-making across teams. Role Overview We are hiring a Senior Data Analyst with expert-level Excel skills and a strong foundation in data structuring, automation, and reporting. The ideal candidate will have worked in investment banking, analytics, or reporting roles in a demanding environment, and is now ready to apply those skills to a product and operations-heavy business. Key Responsibilities Build and maintain dashboards, trackers, and performance reports using Advanced Excel techniques (Power Query, Pivot Tables, Array Formulas, VBA/Macros, etc.) Consolidate and clean data from multiple sources (Google Sheets, CRM, app dashboards, sales reports, support tools, etc.) Create automated reports to track KPIs across marketing, sales, support, content, and product Support leadership with ad hoc deep-dives, custom reports, and actionable insights Work closely with functional heads to understand data needs and improve team decision-making Ensure accuracy and consistency in reporting and data definitions What we are Looking For 5+ years of experience in a data-intensive role in investment banking, analytics, operations, or strategy Mandatory : Certification in Advanced Excel (e.g., Microsoft Excel Expert, Coursera/LinkedIn Learning Advanced Excel, etc.) Strong command over data cleaning, merging, automation, charting, pivoting, and conditional logic Experience with Google Sheets, and comfort working in fast-changing, high-volume data environments Bonus: Exposure to BI tools (Power BI, Looker, Google Data Studio), SQL, or app-based consumer data Meticulous attention to detail and a sense of ownership over data accuracy Nice-to-Have Skills Experience with support dashboards, ad tracking reports, or sales CRM Ability to present findings in a clear, actionable format for non-technical stakeholders Experience in the travel, SaaS, or mobile app space is a plus What You'll Gain Work directly with leadership and business heads High ownership in building systems from scratch Opportunity to shape reporting practices and decision frameworks A visible, strategic role in a growing global product company

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Team As a Member Support Manager, you will be helping businesses all across the UK to become success stories. You’ll love talking to people and have an empathetic and proactive nature along with a passion for solving member issues. You will play a crucial part in helping Tide expand by providing round-the-clock support every day of the year. As part of the Member Support team, you will build on the relationship with members who use our products to grow their business further. You will gain valuable insight into their needs as well as recognise opportunities. About The Role Our mission is to save businesses time and money, which they can put back into their company, and delivering fast and fluid support is key to achieving this. As a Manager of our Paid plan teams, you will ensure that we keep our members’ accounts safe and ensure proper and satisfactory communication is kept throughout various channels including chat, voice and email. Responsibilities As a Member Support Manager, you will be responsible for the overall activity of exercising control over the accurate and quality fulfilment of the obligations of the employees in the Member Support Department, who, according to the organisational structure of the employer, are at a lower hierarchical level than the position Member Support Manager. Organising and conducting initial and follow-up training, ensuring employee awareness, providing feedback and compiling reports(Kustomer, Looker, Excel) to the upper management are expected from a person in that role. You will be responsible for all metrics and KPIs on a department level and will be expected to implement measures to improve team result and efficiency as well as collaborating with other departments to drive improvements in the products or processes. Some of the things you’ll be doing: Ensure the accurate and high-quality fulfilment of the obligations of Team Leads, Senior Associates and other team members Ensure successful teamwork, striving to create a supportive work environment Observe all procedures described in the employer database containing internal procedures, rules and articles with customer service instructions. Assist in the preparation of new procedures and the improvement of existing ones by making proposals, drafting procedures in order to improve the organisation and quality of performance Communicate and collaborate with Operations and Product managers from different business units, sharing trends, feedback and updates from the Member support department Operationally manage the Team Leads and Associates, allocating tasks and approving work schedules for the employees in the department within the time limits specified by the employer. Provide feedback to the Team Leads and Associates in the department in case of poor performance of duties and/or non-compliance with the procedures, as well as in quality fulfilment of obligations, in order to ensure compliance with the established standards of quality, productivity and customer service of employer`s counterparties Ensure employee awareness of product and procedural changes affecting the unit Prepare individual statistics on the speed and quality of the work of the employees in the Member Support Department, Participates in the interviewing and hiring of Team Leads and associates based on the hiring plan. Ensure work schedules and internal people policies and procedures are adhered to What We Are Looking For You have been a manager of a customer service team for more than 2 years, with a minimum of 9+ years of experience in customer support. Experience from the fintech or banking industry is an added advantage You have excellent spoken and written English skills You have experience in delivering omni-channel support You are confident in your presentation, stakeholder management and people management skills You are familiar with the standard metrics in support and how to maintain or improve them if required You enjoy finding novel ways to solve difficult problems and improve existing processes You are always on the lookout for recurring issues and help create new workflows to solve them You have really strong organisational skills You are self-driven, responsible and energetic What You Will Get In Return Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. 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About the Role NXL Technologies is seeking a strategic and performance-driven Digital Marketing Head to lead our digital initiatives from our office in Kochi. This is not just an executive role—you will drive the vision, strategy, and performance of our digital marketing efforts across multiple platforms. If you have two or more years of hands-on experience in digital marketing and a passion for building data-driven, high-converting campaigns, we’d love to hear from you. Key Responsibilities Develop and implement end-to-end digital marketing strategies aligned with business goals. Plan and manage paid campaigns on Google Ads, Meta Ads, and LinkedIn Ads. Drive PPC performance with a focus on lead quality and ROI. Build and optimize lead generation funnels with clear CTAs, automation sequences, and retargeting strategies. Oversee SEO and SEM efforts, including keyword planning, technical SEO, and content optimization. Collaborate with content, design, and video teams to deliver cohesive and engaging digital campaigns. Leverage Google Marketing Platform tools (Analytics, Tag Manager, Looker Studio) to track, analyze, and improve campaign performance. Conduct competitive analysis and audience research to refine targeting and messaging. Stay current with digital trends, algorithm changes, and emerging tools to keep strategies fresh and effective. What We’re Looking For Minimum 2+ years of experience in digital marketing, with a strong strategic and analytical mindset. Proven expertise in PPC management and performance marketing across Meta, Google, and LinkedIn. Deep understanding of audience segmentation, funnel building, and customer journey mapping. Solid knowledge of SEO best practices and tools like Google Search Console, SEMrush, or Ahrefs. Familiarity with multimedia content creation, graphic design, video editing, or working with creative teams. Experience with Google Analytics, Tag Manager, and Looker Studio (formerly Data Studio). Strong communication and leadership skills with a proactive, solution-oriented mindset. Must be willing to work full-time, on-site at our office in Kochi.

Wati is the world's leading WhatsApp-first conversational growth platform, empowering businesses to build deeper customer relationships and accelerate revenue growth. Trusted and loved by over 14,000 customers across 100+ countries, Wati has established itself as the premier choice for businesses leveraging WhatsApp and other messaging channels to connect with customers on their platform of choice. In a world where real-time interactions drive growth, Wati's story is all about business growth through conversations. At Wati, we believe that every conversation matters, whether it's engaging a first-time prospect, nurturing a qualified lead, or deepening relationships with loyal clients. We transform these conversations into opportunities for building relationships, and strong relationships lead to increased revenue. Our Platform The AI-native platform simplifies complex business operations by bringing all customer interactions under one intelligent roof. Designed for scalability and ease of use, our solution delivers a measurable ROI while adapting to businesses of all sizes, from emerging startups to established enterprises. Our Backing & Partnerships Wati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premium-tier Partner of Meta, Google, and WhatsApp, we maintain the highest standards of integration and platform excellence. We are on a mission to turn conversations into revenue—and as we scale, we're looking for a visionary Head of Revenue Operations to architect, optimize, and drive our global revenue engine. You'll be Wati's first global RevOps leader. This is a pivotal role that sits at the intersection of strategy, systems, and GTM alignment. From forecasting and process design to tooling and performance insights, you will own the infrastructure that enables predictable and scalable revenue growth across Sales, Marketing, Partnerships, and Customer Success. This role is ideal for a hands-on, systems-oriented leader who has built and led RevOps in high-growth B2B SaaS environments, especially those with global GTM teams and multi-channel distribution models (PLG, outbound, channel). What You'll Do 🧠 Strategic Planning & Forecasting Own the global revenue operations strategy, working closely with C-suite and GTM leaders (Sales, CSM, Partnership) Develop and manage the global forecasting process, creating and maintaining dashboards and reports that provide actionable insights into GTM performance, pipeline health, and key revenue trends. 🔄 Process Design & Optimization Architect and continuously optimize the end-to-end revenue process, from lead-to-renewal. This includes refining lead scoring, handoffs, sales cycle stages (with a focus on the mid-market), and standardizing proposal and RFQ management to increase sales velocity Operationalize PLG and sales-assisted models together 💰 Sales Compensation & Performance Design, model, and administer sales compensation plans in partnership with Finance and Sales leadership to drive performance Lead strategic planning activities, including territory design, quota setting, and capacity planning 📊 Tech Stack & Data Management Own and scale the global RevOps tech stack (e.g., HubSpot, Chargebee, Intercom, Vitally) Ensuring high data integrity and leveraging automation to improve productivity. 🌍 Cross-Functional Alignment Act as a key cross-functional partner, aligning Sales, Marketing, Customer Success, and Partnership teams around a unified GTM motion Drive RevOps enablement and global documentation to ensure operational excellence. Requirements 6-10+ years of experience in Revenue Operations or Sales Strategy roles, with at least 3 years in a global leadership capacity Deep familiarity with the SaaS GTM lifecycle: inbound, outbound, PLG, expansion, channel Hands-on expertise in designing sales compensation plans, optimizing sales processes (especially in the mid-market), and building forecasting models from the ground up Proven track record of implementing and scaling CRMs (HubSpot, Salesforce) and the broader RevOps tooling/automation stack Strong quantitative and analytical skills, with a demonstrated ability to translate complex data into executive-level insights and strategic recommendations Experience managing or mentoring RevOps or GTM Ops teams across regions Excellent communication and stakeholder management skills 🌟 Bonus Points Experience supporting PLG + sales-assisted hybrid models Understanding of WhatsApp, conversational commerce, or messaging platforms Background in SaaS businesses operating across APAC, LATAM, and EMEA Familiarity with product analytics platforms (Heap, Looker) and integration with GTM tools

Wati is the world's leading WhatsApp-first conversational growth platform, empowering businesses to build deeper customer relationships and accelerate revenue growth. Trusted and loved by over 14,000 customers across 100+ countries, Wati has established itself as the premier choice for businesses leveraging WhatsApp and other messaging channels to connect with customers on their platform of choice. In a world where real-time interactions drive growth, Wati's story is all about business growth through conversations. At Wati, we believe that every conversation matters, whether it's engaging a first-time prospect, nurturing a qualified lead, or deepening relationships with loyal clients. We transform these conversations into opportunities for building relationships, and strong relationships lead to increased revenue. Our Platform The AI-native platform simplifies complex business operations by bringing all customer interactions under one intelligent roof. Designed for scalability and ease of use, our solution delivers a measurable ROI while adapting to businesses of all sizes, from emerging startups to established enterprises. Our Backing & Partnerships Wati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premium-tier Partner of Meta, Google, and WhatsApp, we maintain the highest standards of integration and platform excellence. We are on a mission to turn conversations into revenue—and as we scale, we're looking for a visionary Head of Revenue Operations to architect, optimize, and drive our global revenue engine. You'll be Wati's first global RevOps leader. This is a pivotal role that sits at the intersection of strategy, systems, and GTM alignment. From forecasting and process design to tooling and performance insights, you will own the infrastructure that enables predictable and scalable revenue growth across Sales, Marketing, Partnerships, and Customer Success. This role is ideal for a hands-on, systems-oriented leader who has built and led RevOps in high-growth B2B SaaS environments, especially those with global GTM teams and multi-channel distribution models (PLG, outbound, channel). What You'll Do 🧠 Strategic Planning & Forecasting Own the global revenue operations strategy, working closely with C-suite and GTM leaders (Sales, CSM, Partnership) Develop and manage the global forecasting process, creating and maintaining dashboards and reports that provide actionable insights into GTM performance, pipeline health, and key revenue trends. 🔄 Process Design & Optimization Architect and continuously optimize the end-to-end revenue process, from lead-to-renewal. This includes refining lead scoring, handoffs, sales cycle stages (with a focus on the mid-market), and standardizing proposal and RFQ management to increase sales velocity Operationalize PLG and sales-assisted models together 💰 Sales Compensation & Performance Design, model, and administer sales compensation plans in partnership with Finance and Sales leadership to drive performance Lead strategic planning activities, including territory design, quota setting, and capacity planning 📊 Tech Stack & Data Management Own and scale the global RevOps tech stack (e.g., HubSpot, Chargebee, Intercom, Vitally) Ensuring high data integrity and leveraging automation to improve productivity. 🌍 Cross-Functional Alignment Act as a key cross-functional partner, aligning Sales, Marketing, Customer Success, and Partnership teams around a unified GTM motion Drive RevOps enablement and global documentation to ensure operational excellence. Requirements 6-10+ years of experience in Revenue Operations or Sales Strategy roles, with at least 3 years in a global leadership capacity Deep familiarity with the SaaS GTM lifecycle: inbound, outbound, PLG, expansion, channel Hands-on expertise in designing sales compensation plans, optimizing sales processes (especially in the mid-market), and building forecasting models from the ground up Proven track record of implementing and scaling CRMs (HubSpot, Salesforce) and the broader RevOps tooling/automation stack Strong quantitative and analytical skills, with a demonstrated ability to translate complex data into executive-level insights and strategic recommendations Experience managing or mentoring RevOps or GTM Ops teams across regions Excellent communication and stakeholder management skills 🌟 Bonus Points Experience supporting PLG + sales-assisted hybrid models Understanding of WhatsApp, conversational commerce, or messaging platforms Background in SaaS businesses operating across APAC, LATAM, and EMEA Familiarity with product analytics platforms (Heap, Looker) and integration with GTM tools

At PwC, the focus of individuals in data and analytics engineering is to utilize advanced technologies and techniques for designing and developing robust data solutions for clients. They are instrumental in converting raw data into actionable insights, facilitating informed decision-making, and propelling business growth. Those specializing in data science and machine learning engineering at PwC concentrate on employing advanced analytics and machine learning techniques to extract insights from extensive datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to tackle intricate business challenges. You will have a significant role in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that steer strategic decisions for both clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams, you will assist in developing impactful, commercially relevant insights to integrate into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Preferred Knowledge and Skills: Demonstrates in-depth abilities and a proven track record of success in managing efforts to identify and address client needs: - As a critical member of a team of Retail and Consumer data scientists, you will maintain and analyze large, complex datasets to uncover insights related to consumer sentiment, future business trends/challenges, cyclical consumer events (e.g., holidays, back-to-school, Super Bowl), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Assist in identifying new, cutting-edge datasets to enhance the firm's differentiation among competitors and clients. - Assist in building predictive models and data-led tools. - Design and implement experiments (e.g., A/B testing, market basket analysis) to assess the effectiveness of new approaches and drive continuous improvement. - Collaborate with the US team to translate analytical findings into actionable recommendations and compelling narratives. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Stay abreast of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Experience in managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills, proficiency in Python and/or R for data manipulation and modeling. - Experience in applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Previous work involving pricing optimization, inventory forecasting, or omnichannel analytics.,

As an Assistant Manager MI Reporting at HSBC, you will play a crucial role in providing proactive and efficient support in managing service requests and reporting. Your responsibilities will include resolving all service requests within the agreed Service Level Agreement (SLA) timeframe, both ad hoc and regular reporting, and providing knowledge transfer and training on Qlik for self-service functionality. You will be responsible for escalating complex or problematic requests to line management, managing relationships with internal and external stakeholders, and ensuring all work is processed in accordance with established procedures. Additionally, you will provide guidance on self-serve reports, support Procurement transformation projects, and ensure compliance with Quality Assurance, Change Control, and Release Management procedures. Your role will involve executing initial issue diagnosis, prioritizing incident resolution, updating the knowledge base, and maintaining supporting process/technical documentation. You will proactively provide data and analysis to meet customer requirements, escalate anomalies to the data/dashboard developer, and ensure secure data activities in adherence to policies and regulations. To succeed in this role, you should have an understanding of the Procurement life cycle and Procurement applications, proficiency in SQL, ETL framework, Alteryx, Python, GCP, and Qlik Sense. Experience with business tools like JIRA and Confluence, intermediate coding and analysis skills, and exposure to data visualization technologies such as Looker and Qlik will be advantageous. Critical thinking, analytical problem-solving skills, and the ability to make data-driven decisions are essential. You will collaborate with internal teams, ensure compliance with internal policies and regulatory requirements, and participate in team meetings to provide insights and recommendations. Keeping SOPs and Confluence pages updated, sharing process changes with peers, and promptly flagging any issues are key aspects of your role. Join HSBC to make a real impact and contribute to the growth and success of one of the world's largest banking and financial services organizations.,

As a Senior Specialist in Global Data Science at Colgate-Palmolive, you will play a crucial role in the GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical. This department focuses on working on business cases with significant financial impacts for the company, providing solutions to business questions, recommended actions, and scalability options across markets. Your position as a Data Scientist will involve leading projects within the Analytics Continuum, where you will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions aimed at achieving clear financial objectives for Colgate-Palmolive. Your responsibilities will include building predictive modeling solutions, applying ML and AI algorithms to analytics, developing end-to-end business solutions from data extraction to building business presentations, conducting model validations, and continuous improvement of algorithms. You will also deploy models using Airflow and Docker on Google Cloud Platforms, own Pricing and Promotion, Marketing Mix projects, and present insights to business teams in an easily interpretable manner. To qualify for this role, you should have a BE/BTECH in Computer Science or Information Technology, an MBA or PGDM in Business Analytics or Data Science, additional certifications in Data Science, or an MSC/MSTAT in Economics or Statistics. You should have at least 5 years of experience in building statistical models, hands-on experience with coding languages such as Python and SQL, and knowledge of visualization frameworks like PyDash, Flask, and PlotLy. Understanding of Cloud Frameworks like Google Cloud and Snowflake is essential. Preferred qualifications include experience in managing statistical models for Revenue Growth Management or Marketing Mix models, familiarity with third-party data sources, knowledge of machine learning techniques, and experience with Google Cloud products. At Colgate-Palmolive, we are committed to fostering an inclusive environment where individuals with diverse backgrounds and perspectives can thrive. Our goal is to develop talent that best serves our consumers globally and ensure that everyone feels a sense of belonging within our organization. We are an Equal Opportunity Employer dedicated to empowering all individuals to contribute meaningfully to our business.,

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Experience in commercial data & analytics, strategy, or related roles within Health Industries (Pharmaceuticals, Biotech, Medical Devices, Payer, or Provider). You will play a crucial role in organizing & maintaining proprietary datasets and transforming data into insights & visualizations that drive strategic decisions for our clients and the firm. You’ll work closely with the industry leader & a number of cross-functional Health Industries advisory, tax and assurance professional teams to develop high-impact, commercially relevant insights to infuse into thought leadership, external media engagement, demand generation, client pursuits, & delivery enablement. Knowledge And Skills Preferred Demonstrates in- depth level abilities and/or a proven record of success managing efforts with identifying and addressing client needs: As a critical member of a team of Health Industries data scientists, maintain and analyze large, complex healthcare datasets to uncover insights that inform topics such as patient behavior, market dynamics, regulatory trends, provider and payer performance, innovation adoption, access to care, pricing strategies, and operational optimization; Support in the identification of new, cutting-edge healthcare data sources (e.g., real-world evidence, claims data, clinical trial registries, formulary data) that add to the firm’s differentiation among competitors and deepen value to clients; Building predictive models and data-led tools that inform strategic decisions across payer, provider, pharma, and medtech sectors; Design and conduct experiments (e.g., policy impact analysis, intervention efficacy testing, treatment adherence modeling) to measure effectiveness of healthcare initiatives and support continuous improvement; Partner with the US team and healthcare business stakeholders and client teams to translate analytical findings into actionable recommendations and compelling narratives that support clinical, financial, and operational decision-making; Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics, stakeholder engagement, and regulatory reporting; Stay up to date and ahead of industry trends, patient and provider behavior patterns, and emerging technologies shaping the healthcare landscape; Experience managing high-performing data science and commercial analytics teams with deep healthcare domain knowledge; Strong SQL and Alteryx skills and proficiency in Python and/or R for healthcare data manipulation, modeling, and visualization; Experience applying machine learning or statistical techniques to real-world healthcare challenges, including cost forecasting, population health management, or precision medicine applications; Solid understanding of key healthcare metrics (e.g., PMPM, readmission rates, utilization, adherence, access, NPS, etc.); Proven ability to explain complex healthcare data concepts to non-technical stakeholders across payer, provider, and life sciences environments Experience with healthcare datasets such as IQVIA, Clarivate, Evaluate Pharma, Citeline, AIS Health, Symphony Health, etc. Knowledge of geospatial or time-series analysis in a healthcare setting (e.g., site-of-care optimization, treatment seasonality, regional variation in access) Prior work with pricing strategy, access and reimbursement modeling, value-based care analytics, or health equity assessment.

Key Responsibilities Design, build, and maintain dynamic and user-friendly dashboards using Tableau and Looker. Develop and optimize LookML models in Looker and manage data exploration layers for reusable insights. Use Tableau Prep and Looker data modelling to cleanse, shape, and transform data. Collaborate with data engineers, analysts, and business stakeholders to understand reporting requirements and deliver relevant visualizations. Ensure data accuracy, performance tuning, and alignment with business KPIs and metrics. Maintain version control, content organization, and user access in Tableau Server and Looker environments. Implement best practices in visualization design, layout, interactivity, and storytelling. Support the migration and redesign of legacy dashboards (e.g., from Power BI or Qlik) into Tableau or Looker as required. Automate reporting workflows and enable self-service BI through guided dashboards. Collaborate with IT or data platform teams to troubleshoot connectivity, access, and integration : 5 years of hands-on experience in data visualisation using Tableau and Looker. Strong experience with LookML, dashboard development, and explore setup in Looker. Expertise in Tableau Desktop and Tableau Server/Public, with solid knowledge of calculated fields, parameters, filters, and Tableau dashboards. Good understanding of data modelling, SQL, and working with large, complex datasets (preferably in Snowflake, BigQuery, or SQL Server). Familiarity with data governance, permissions management, and user licensing in Tableau and Looker. Ability to apply design principles, storytelling techniques, and UX best practices in dashboards. Strong communication and stakeholder management : Experience with Power BI, Power Automate, or migration projects from other BI. (ref:hirist.tech)

Job Description: Analyst – Marketing & Customer Analytics (Offshore Team) Job Overview We are looking for a data-savvy and insight-driven Analyst to join our Retail Marketing & Customer Analytics offshore team. This role supports a variety of high-impact analytics needs—from channel efficiency analysis and incrementality measurement to building scalable dashboards and supporting ad hoc marketing and customer deep dives. Ideal for candidates with 5–7 years of experience, this role requires strong SQL and visualization skills, a sharp analytical mindset, and a passion for improving marketing effectiveness through data. Key Responsibilities Marketing Performance & Channel Analytics Analyze the efficiency and ROI of marketing channels (e.g., paid search, social, email, affiliates), identifying performance trends and optimization opportunities. Support channel incrementality testing, including design, measurement, and interpretation of test results to determine true lift and return from campaigns. Translate findings from Marketing Mix Models (MMM), attribution models (GA4, MTA, last-click), and driver tree frameworks into actionable recommendations for budget and channel strategy. Conduct post-campaign analysis to identify what worked, what didn’t, and where opportunities exist for improvement. Customer & Ad Hoc Analytics Partner with onshore stakeholders to solve ad hoc business questions related to customer engagement, retention, segmentation, and lifecycle behavior. Identify and explain key business drivers influencing metrics like revenue, traffic, conversions, or churn using structured frameworks and analytical methods. Visualization & Reporting Build and maintain automated, insightful dashboards using Tableau and Looker that track marketing performance, customer behavior, and attribution outcomes. Design reporting views that make complex modeling output (e.g., MMM or GA4 attribution data) intuitive and digestible for marketing stakeholders. Ensure data pipelines and visualizations are accurate, scalable, and aligned with business definitions. Data Extraction & Quality Write efficient, scalable SQL queries to extract and manipulate large datasets from cloud platforms (e.g., GCP BigQuery). Support ongoing data validation, anomaly detection, and root cause investigation to ensure confidence in insights delivered. Team Collaboration & Agile Delivery Work closely with onshore marketing analytics leads, campaign managers, and CRM teams to align on goals and interpret insights in business context. Participate in Agile ceremonies (e.g., standups, sprint planning) and support documentation and stakeholder communication. Requirements 5–7 years of analytics experience, with a strong foundation in marketing or customer analytics. Proficient in SQL for querying and analyzing large datasets. Hands-on experience with Tableau, Looker, or similar BI tools for building dashboards and visualizations. Familiarity with marketing KPIs such as ROI, conversion rate, CAC, LTV, and incrementality. Strong analytical thinking, with the ability to turn model outputs into real-world business narratives. Clear verbal and written communication skills to share insights with technical and non-technical stakeholders. Comfortable working in Agile or cross-functional teams using tools like Jira, Confluence, or Slack. Preferred Qualifications Exposure to MMM, GA4, MTA, or other attribution models and frameworks. Experience supporting or interpreting incrementality experiments and A/B testing for paid media or CRM programs. Familiarity with retail or e-commerce environments and omnichannel marketing strategies. Understanding of driver tree modeling, campaign forecasting, or uplift modeling concepts.

Responsibilities 5 years of experience in consulting or relevant industry roles. A Bachelor’s degree or higher in Business Administration, Economics, Finance, Engineering, or a related field, with a strong academic record. Proven experience in project execution within professional or volunteer settings, including: Synthesizing analysis into clear and compelling narratives. Delivering tangible outcomes at different stages of a process. Mentoring and supporting junior team members. Technical proficiency includes: Strong command of Microsoft Office (Excel, PowerPoint, Word) is a must have Experience with financial modelling, KPI tracking, and revenue forecasting to support business growth strategies Experience with data management and querying, as well as BI tools such as PowerBI, Tableau, Looker, Qlik for automated data visualization and reporting Data science and analytics expertise including statistical analysis, machine learning and predicative modeling a bonus using Python, R or SQL Commitment to excellence in client service and professional standards. Ability to think critically and strategically, going beyond execution to add value. Superior written and verbal communication skills in English. Manage resource planning and ensure optimal utilization across projects. Drive revenue forecasting, monitor actual performance, and manage forecast adjustments and deferrals. Oversee the end-to-end lifecycle of client onboarding and project creation. Administer timesheet tracking and management for project resources to ensure accurate billing and reporting. Manage vendor relationships and oversee timely and accurate payment processing. Maintain and update rate cards, project cost tracking, and project charter documentation. Ensure compliance with industry certification standards and internal compliance requirements. Willingness and ability to work in flexible shifts, including switching between EST and IST time zones as required by business needs. Oversee the management and execution of Master Service Agreements (MSAs), Service Level Agreements (SLAs), and partnership deeds. Collaborate closely with the senior leadership team to deliver on quality metrics and quantitative business objectives. Develop compelling narratives, business decks, and reports, demonstrating strong proficiency in advanced Excel and PowerPoint. Key Skills & Competencies: Strategic Thinking : Strong capability to think strategically and develop long-term plans. Project Management : Experience managing multiple projects or workstreams, ensuring timely and high-quality outcomes. Financial Acumen : Solid understanding of financial statements, budgeting, and forecasting. Problem-Solving : Ability to think critically and develop innovative solutions to ambiguous challenges. Analytical & Quantitative Skills : Ability to assess complex data, identify trends, build business cases, and make data-driven decisions. Communication : Exceptional verbal and written communication skills, with a concern for storytelling and an ability to present complex information clearly and persuasively Comfort with Ambiguity : Capacity to frame a problem, make assumptions and judgment calls, with ability to be resourceful and ‘take a first pass’ independently Collaboration : Interest in working in multidisciplinary teams and leveraging diverse perspectives.

Job Title: MIS Executive Location: Pitampura, Delhi (Candidates must reside within 15 km / 30 minutes travel time) Salary Range: ₹25,000 – ₹35,000 per month (based on experience and skills) Job Description: We are looking for a talented and detail-oriented MIS Executive with strong analytical and technical skills to manage and streamline our data reporting systems. The ideal candidate should have significant experience in Rahul Jain's or Sanjeev Jain's Sheets and should be capable of working independently with a creative approach to data solutions. Key Responsibilities: - Prepare and maintain regular MIS reports, all types of FMS and dashboards - Work extensively with Excel and Google Sheets, utilizing: VLOOKUP, HLOOKUP, MATCH, INDEX, Pivot Tables, Import Range and advanced formulas - Design and manage dashboards in Looker Studio (Google Data Studio) - Analyze large sets of data to identify patterns and trends - Provide insights and actionable data to support business decisions - Collaborate with other departments for accurate data collection and reporting - Suggest improvements and automate existing reporting systems Candidate Requirements: Gender: Open to both Male and Female candidates Age: No age restriction Experience: Minimum 5 years Industry preference: Trading / Import / Distribution sector Location: Must live within 15 km or 30 minutes commuting distance from Pitampura, Delhi Please make sure that the candidates are dedicatedly working to one organization and are stable.

As a Senior Enterprise Architect with 7-12 years of experience in ML & AI, you will be based in Gurgaon with frequent travel to Dusseldorf, Germany. Reporting to the Head of Operations & Digital, you will be instrumental in driving the digital transformation of a global sourcing business. Your role will involve designing and implementing scalable, data-powered technology solutions to optimize core business operations, particularly in sourcing, merchandising, and supply chain. Your responsibilities will include defining and executing the digital transformation roadmap aligned with business objectives. You will design enterprise-grade, scalable technology solutions focusing on predictive analytics, supply chain agility, and operational optimization. Collaboration with department heads and executive stakeholders to identify operational challenges and co-create technology-driven solutions will be essential. You will architect modern data ecosystems and AI/ML pipelines to enable real-time insights into inventory management, demand forecasting, and trend analysis. Additionally, you will act as a strategic bridge between the technology team and core business functions, overseeing the development, deployment, and continuous improvement of digital platforms and business intelligence tools. Monitoring industry trends, evaluating emerging technologies, and implementing automation and AI-enabled capabilities for continuous improvement will also be part of your responsibilities. Your technical expertise should include proficiency in cloud platforms (AWS, Azure, GCP), enterprise integration, modern architecture frameworks, data and analytics tools such as SQL, Python, R, Power BI, Tableau, or Looker, as well as a deep understanding of automation, predictive analytics, and secure system design. The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, Data Science, or related field, with a preference for Master's degree or certifications in enterprise architecture or cloud platforms (e.g., TOGAF, AWS, Azure). You should have 7-12 years of experience in enterprise architecture, digital transformation, and large-scale technology program delivery. Strong hands-on expertise in cloud technologies, data architecture, and AI/ML-based systems is required. Leadership capabilities, excellent communication and interpersonal skills, and the ability to influence global teams and drive enterprise-wide change are essential for this role. A willingness to travel frequently to the organization's European headquarters and other locations as needed is also a requirement. The hiring company is part of a globally influential platform for design-led consumer goods sourcing, operating across a network of over 75 offices and more than 50 factories. With a strategic focus on digitalization and operational excellence, the organization is building future-ready sourcing ecosystems that combine deep industry expertise with cutting-edge technology.,