3228 Looker Jobs - Page 17

As a Senior Data Engineer + AI, you will play a crucial role in designing and optimizing distributed data pipelines using PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. Your expertise in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines will be instrumental in contributing to high-impact programs with clients. Your strong SQL skills for data analysis, transformation, and modeling will enable you to drive data-driven decision-making and facilitate rapid insight generation. Your responsibilities will involve supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications, as well as creating and maintaining interactive dashboards and BI reports using tools such as Power BI, Tableau, or Looker. You will collaborate with cross-functional teams, including AI scientists, analysts, and business teams, to ensure the successful delivery of use cases. In this role, you will need to have a solid understanding of data warehouse design, relational databases such as PostgreSQL, Snowflake, SQL Server, as well as data lakehouse architectures. Your familiarity with cloud services for data and AI, such as Azure, AWS, or GCP, will be essential for ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments. Furthermore, your exposure to Generative AI, RAG, embedding models, and vector databases like FAISS, Pinecone, ChromaDB, as well as experience with Agentic AI frameworks such as LangChain, Haystack, CrewAI, will be beneficial. Your knowledge of MLflow, Delta Live Tables, or other Databricks-native AI tools, CI/CD, Git, Docker, and DevOps pipelines will also be advantageous in this role. If you have a background in consulting, enterprise analytics, or AI/ML product development, it will further enhance your ability to excel in this position. Your excellent problem-solving and collaboration skills, coupled with your ability to bridge engineering and business needs, will be key to your success as a Senior Data Engineer + AI.,

As a Data Analytics Lead with 10 years of experience, you will be responsible for driving the organization-wide analytics strategy and fostering a data-driven decision-making culture. Your key responsibilities will include building dashboards, leading advanced data analysis, developing predictive models, and ensuring ethical data usage. To excel in this role, you should have a B.E./B.Tech in Computer Science or equivalent qualification. Industry preference is given to Manufacturing/Process/IT sectors. You should also possess expertise in tools such as Tableau, Power BI, and Looker, along with knowledge of machine learning and MLOps. Strong communication and leadership skills are essential for effectively executing your responsibilities. Join us in this dynamic role where you will have the opportunity to drive analytics initiatives, develop predictive models, and lead the organization towards data-driven decision-making.,

About The Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About The Role We are looking for a detail-oriented and technically skilled BI Engineer to design, build, and maintain robust data pipelines and visualization tools that empower data-driven decision-making across the organization. The ideal candidate will work closely with stakeholders to translate business needs into actionable insights by developing and optimizing BI solutions. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to support data integration from multiple sources. Build and optimize data models and data warehouses for business reporting and analysis. Develop dashboards, reports, and data visualizations using BI tools (e.g., Power BI, Tableau, Looker, etc.). Collaborate with data analysts, data scientists, and business stakeholders to understand reporting needs and deliver effective solutions. Ensure data accuracy, consistency, and integrity across reporting systems. Perform data validation, cleansing, and transformation as necessary. Identify opportunities to automate processes and improve reporting efficiency. Monitor BI tools and infrastructure performance, and troubleshoot issues as needed. Stay up-to-date with emerging BI technologies and best practices. Required Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. 2–4 years of experience as a BI Engineer, Data Engineer, or similar role. Proficiency in SQL and experience with data modeling and data warehousing (e.g., Snowflake, Redshift, BigQuery). Experience with BI and data visualization tools (e.g., Power BI, Tableau, Qlik, Looker). Strong understanding of ETL processes and data pipeline design. Excellent problem-solving skills and attention to detail. Preferred Experience with Python, R, or other scripting languages for data manipulation. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud Platform). Knowledge of version control (e.g., Git) and CI/CD practices. Experience with APIs, data governance, and data cataloging tools. Compensation We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

About Us - Join the Elite We're not your typical finance consultancy. We're the secret weapon behind the startups you've heard of. We've cracked the code: world-class financial leadership without enterprise overhead. While others push cookie-cutter solutions, we build custom strategies that fuel explosive growth. The Zenith Difference: Battle-tested CFO founders who've raised hundreds of millions and scaled seed-to-IPO Elite financial athletes who live and breathe startup metrics and high-stakes decisions Zero bureaucracy, maximum impact - we move at startup speed because we ARE startup people Why top talent chooses us: We don't offer jobs - we offer rocket ships. You're not pushing spreadsheets. You're building financial foundations for tomorrow's unicorns, crafting models that unlock Series A-B-C, sitting in rooms where million-dollar decisions happen. We hire financial gladiators who turn numbers into narratives, models into millions, and chaos into clarity. What We Do Fractional CFO Services - On-demand leadership to manage reporting, fundraising, and strategy Board & Investor Reporting - We build monthly reporting packs, KPIs, and forecasts that investors trust Fundraising Support - From pitch prep to data rooms, we help you close rounds with confidence Financial Operations - Bookkeeping, cash flow, payroll — handled cleanly and consistently About This Role We are seeking a Financial Modeling Expert with 3-5 years of proven experience to join our high-performance finance team. This is an immediate start position for exceptional professionals who thrive in fast-paced startup environments and are passionate about helping companies achieve their financial goals. This role is for serious financial modeling professionals only. If you don't have demonstrable expertise in building complex financial models, please do not apply. Core Requirements (Non-Negotiable) Immediate Availability Ready to start immediately Available for urgent projects and tight deadlines from day one Communication Excellence Fluent English - Native or near-native proficiency required Ability to explain complex financial concepts to diverse audiences Technical Mastery Expert-level financial modeling with 3-5 years of hands-on experience Advanced Excel/Google Sheets proficiency - complex formulas, scenario modeling, dynamic dashboards PowerPoint expertise - creating investor-ready pitch decks and presentations Experience with BI tools (Looker, Tableau, Power BI) Global Flexibility Available across international time zones (US, Europe, Asia-Pacific) Comfortable with non-traditional hours when client needs require it Client-Facing Excellence Direct client interaction experience with executives and stakeholders Proven track record of managing client relationships independently Startup Mentality Thrives in extremely fast-paced environments Comfortable with ambiguity and rapid context-switching This is not a 9-to-5 role - flexibility and urgency are essential What You'll Do Financial Modeling & Analysis Build comprehensive 3-statement financial models from scratch Create scenario analyses, sensitivity testing, and KPI dashboards for strategic decisions Investor Relations Support Design and build investor pitch decks that secure funding Prepare due diligence materials and create compelling financial narratives for stakeholders Client Partnership Work directly with startup founders, CFOs, and executive teams Manage multiple client relationships while consistently exceeding expectations Cross-Functional Excellence Support business development and collaborate across teams for integrated solutions Adapt quickly to changing priorities and urgent requests Ideal Background Professional Experience 3-5 years in investment banking, private equity, venture capital, corporate development, or FP&A Experience working with startups/growth companies with a track record of building financial models that support major business decisions Industry Knowledge Deep understanding of SaaS, DTC, marketplace, and service business models Experience with venture funding processes and startup metrics/KPIs across various industries Personal Attributes High-performance mindset with attention to detail and results-oriented approach Adaptable and resilient in high-pressure situations with aggressive deadlines Proactive communicator who anticipates needs and follows through relentlessly What We Offer Professional Growth Accelerated career development in a high-growth environment with direct exposure to startup ecosystems Opportunity to work with diverse clients across multiple industries and venture funding processes Performance-based advancement and recognition Compensation & Benefits Competitive above-market compensation for top performers with performance-based bonuses Flexible remote working arrangements Professional development opportunities Company Culture Mission-driven team focused on transforming startup financial expertise in an A-player environment Fast-paced, results-oriented culture that rewards high performance Flat organizational structure where merit drives advancement Application Process Submit your resume Click on this link and complete this Google Form - https://forms.gle/zELAayJpC9No7tzw7 Important Notes This role requires: Exceptional work ethic and professional standards Ability to thrive under pressure and tight deadlines Comfort with a performance-driven, fast-moving environment Genuine passion for financial modeling and startup success This role is NOT suitable for: Traditional corporate professionals seeking work-life balance Junior analysts without substantial modeling experience Individuals uncomfortable with demanding client expectations Anyone seeking a standard 40-hour work week

About Chubb JOB DESCRIPTION Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com. About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Reporting to the VP COG ECM enterprise Forms Portfolio Delivery Manager, this role will be responsible for managing and supporting Implementation of a new Document solution for identified applications with the CCM landscape, in APAC. OpenText xPression and Duckcreek has been the corporate document generation tool of choice within Chubb. But xPression going end of life and be unsupported from 2025. A new Customer Communications Management (CCM) platform – Quadient Inspire - has been selected to replace xPression by a global working group and implementation of this new tool (including migration of existing forms/templates from xPression where applicable). Apart from migrating from xPression, there are multiple existing applications to be replaced with Quadient Inspire The role is based in Hyderabad/India with some travel to other Chubb offices. Although there are no direct line management responsibilities within this role, the successful applicant will be responsible for task management of Business Analysts and an Onshore/Offshore development team. The role will require the ability to manage multiple project/enhancement streams with a variety of levels of technical/functional scope and across a number of different technologies. Key Responsibilities Development Leadership: Lead the development and implementation of analytics solutions, ensuring best practices are followed for data accuracy and integrity. Solution Design and Configuration: Design and configure Google Analytics (GA4) and Google Tag Manager (GTM) setups, including advanced features and custom scripts. Create and manage data layers and events to capture necessary data points. Cross-Functional Collaboration: Work closely with marketing, product, and development teams to implement and manage various marketing, analytics, and media tags. Ensure smooth collaboration and timely delivery of projects. Tag Management: Efficiently implement and manage multiple tags across platforms, ensuring they are correctly configured and optimized for performance. Problem-Solving and Communication Skills: Troubleshoot and resolve issues related to analytics and tag management. Communicate findings and insights effectively to stakeholders. Familiarity with Jira: Utilize Jira for project management and issue tracking. Manage and prioritize tasks to ensure project milestones are met. Reporting and Dashboards: Develop tailored reports and dashboards in GA4 and QLIK to present data visually and convey insights to stakeholders. Skills And Qualifications Essential Skills: Bachelor’s degree in a relevant field. Proficiency in Google Analytics (GA4) and Google Tag Manager (GTM) Strong knowledge of JavaScript and HTML Preferred Skills: Experience with Google Big Query, Looker Studio, Adobe Launch, and QLIK Why Chubb? Join Chubb to be part of a leading global insurance company! Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results. Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026 Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment Employee Benefits Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include: Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs. Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits. Application Process Our recruitment process is designed to be transparent, and inclusive. Step 1: Submit your application via the Chubb Careers Portal. Step 2: Engage with our recruitment team for an initial discussion. Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable). Step 4: Final interaction with Chubb leadership. Join Us With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey. Apply Now: Chubb External Careers Qualifications TBD

We are searching for a skilled and adaptable Data Engineer with proficiency in PySpark, Apache Spark, and Databricks, combined with knowledge in analytics, data modeling, and Generative AI/Agentic AI solutions. This position suits individuals who excel at the convergence of data engineering, AI systems, and business insights, contributing to impactful programs with clients. Your responsibilities will include designing, constructing, and enhancing distributed data pipelines utilizing PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. You will also be tasked with supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications. Additionally, creating and maintaining interactive dashboards and BI reports using tools like Power BI, Tableau, or Looker for business stakeholders and consultants will be part of your role. Furthermore, your duties will involve conducting adhoc data analysis to facilitate data-driven decision-making and rapid insight generation. You will be expected to develop and sustain robust data warehouse schemas, star/snowflake models, and provide support for data lake architecture. Integration with and support for LLM agent frameworks like LangChain, LlamaIndex, Haystack, or CrewAI for intelligent workflow automation will also fall under your purview. In addition, ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments (Azure/AWS/GCP) will be important aspects of your work. Collaboration with cross-functional teams, including AI scientists, analysts, and business teams to drive use-case delivery, is key. Lastly, maintaining robust data governance, lineage, and metadata management practices using tools such as Azure Purview or DataHub will also be part of your responsibilities.,

Job Summary: We are seeking a talented, detail-oriented, and technically proficient MIS Executive with strong experience in Excel, Google Sheets, and data visualization tools. The ideal candidate will have a solid background in managing reporting systems, analyzing large data sets, and building actionable dashboards for business operations. Prior experience in the Trading / Import / Distribution or E-commerce sector is highly preferred. Key Responsibilities: Prepare and maintain regular MIS reports, FMS trackers, and dashboards for management and operational teams. Work extensively with Excel and Google Sheets, using advanced formulas such as: VLOOKUP, HLOOKUP, INDEX, MATCH Pivot Tables, Conditional Formatting IMPORT RANGE, QUERY, ARRAYFORMULA, Data Validation Build and manage interactive dashboards using Looker Studio (Google Data Studio) to track KPIs like: Sales performance (Website + Marketplaces) Inventory health Order fulfillment Returns and cancellations Collect, clean, and analyze large sets of structured and semi-structured data to identify patterns, trends, and business opportunities. Provide actionable insights and reports to support decision-making for cross-functional teams including Marketing, Logistics, Finance, and Customer Service. Coordinate with tech and operations teams to ensure accuracy and consistency in data collection and integration. Automate recurring reporting tasks to improve efficiency and reduce manual intervention. Proactively identify gaps or inconsistencies in reporting processes and suggest improvements. Candidate Requirements: Education: Bachelor's degree in Commerce, Business Administration, Information Systems, or a related field. Experience: Minimum 5 years of experience in MIS, preferably within the E-Commerce, Trading, Import, or Distribution sector. Tools & Technical Skills: Advanced proficiency in MS Excel and Google Sheets Experience with Looker Studio (Google Data Studio) or other BI tools Familiarity with ERP systems and eCommerce platforms (e.g., Shopify, Amazon Seller Central) is a plus Knowledge of SQL or scripting for automation (nice to have)

As a part of the Darwinbox team, you will be contributing to Asia's fastest-growing HR technology platform that is reshaping the future of work with a strong emphasis on improving employee experience and ensuring customer success through continuous innovation. With over 900 global enterprises relying on us to manage their 2.5 million+ employees in 116+ countries, we are at the forefront of the industry. Darwinbox's cutting-edge HCM suite competes with both local and global players in the enterprise technology sector, positioning us alongside industry giants like SAP, Oracle, and Workday. Our clientele includes a diverse range of companies from large conglomerates to unicorn startups, such as Nivea, Starbucks, DLF, Crisil, CRED, Vedanta, and many more, showcasing our wide-ranging impact. Backed by renowned global investors like Microsoft, Salesforce, Sequoia Capital, and Lightspeed Venture Partners, our vision of establishing a world-class product company originating from Asia is supported by a strong foundation. In this role, you will be responsible for various key areas, including Product Analytics, where you will develop and manage dashboards to monitor product adoption, retention, and usage across different modules. Additionally, you will lead cohort, funnel, and churn analyses to provide valuable insights to the Product and Customer Success teams. Collaborating with Product and Engineering, you will ensure accurate event instrumentation and data integrity. Your role will also involve focusing on Pricing & Monetization strategies, where you will design and refine pricing strategies such as tiered, usage-based, and modular SKUs. Conducting competitor pricing benchmarking and pricing elasticity studies will be essential, along with creating pricing frameworks for new product launches, including initiatives related to AI monetization. Furthermore, the role includes SKU-Level Analytics tasks, where you will monitor SKU-level performance metrics like revenue, margin, churn, and upsell. You will be required to recommend SKU bundling, discounting frameworks, and cross-sell strategies to drive impactful insights that influence packaging decisions and roadmap prioritization. To excel in this role, we are seeking individuals with an MBA Degree and a minimum of 5 years of experience in SaaS pricing, product analytics, business strategy, or consulting. Proficiency in Advanced SQL and Excel is crucial, along with experience in tools like Power BI, Tableau, or Looker. Strong business acumen and the ability to collaborate effectively across different functions are essential, and prior experience in a high-growth SaaS or B2B product company would be advantageous.,

Company: Alviras Solutions Location: Noida Type: Full-time | Digital Marketing Agency | Performance-Driven We will only shortlist you, if you have minimum 2 YEARS FULL TIME DATA ANALYTICS experience in the E-COMMERCE INDUSTRY and are really good with advanced excel. 🚀 Help Us Build Smarter, Not Louder We’re not looking for someone to just “report the numbers.” We're looking for someone who knows how to build reporting systems, analyze patterns, and turn marketing noise into clean, actionable insights. You’ll be the analytical engine behind our performance marketing. You’ll sit at the intersection of performance marketing, reporting, and analytics bringing clarity to campaigns and helping us (and our clients) make smarter decisions, faster. 🎯 What You’ll Be Responsible For · Build and maintain custom dashboards using Power BI, Looker Studio, and Google Sheets/Excel · Set up and manage GTM (Google Tag Manager) for clean tracking, event tagging, and data validation · Collect, organize, and store raw data from multiple sources in clean, well-structured formats for analysis and reporting · Monitor and report on paid media performance, highlighting crucial insights & trends. · Track and analyze organic performance across SEO and social; report on rankings, visibility, and content performance · Maintain and enforce UTM tracking frameworks to ensure clean attribution across all platforms · Integrate Shopify sales and behavioral data into dashboards and reporting flows · Build performance models and cohort-based analysis to forecast campaign outcomes, LTV, and retention trends · Own the integrity of marketing data pipelines ensuring data accuracy across GTM, analytics platforms, and reporting tools · Provide insights that influence testing, budgeting, and creative strategy · Help optimize internal reporting SOPs and improve data organization across accounts · Coordinate and support social media posting across platforms. 📊 What Success Looks Like (First 6 Months) · You've launched reporting systems that streamline data and help the team make faster, smarter decisions · GTM setups are clean and effective, with key client events properly tracked and validated · Your dashboards act as live control centers, connecting ad spend, organic growth, and Shopify behavior in one unified view · Shopify data is fully integrated with marketing reports, providing insights into user journeys and conversion patterns · You’ve collected and organized historical performance data across all major channels in one place, identifying trends and patterns that shape current strategies · Your analysis identifies not just what’s working, but why —and has influenced strategic direction across at least 2 client accounts · You’re fully self-sufficient in managing and maintaining basic social media posting across platforms with accuracy and consistency 🛠 What You’ll Bring Strong Excel/Google Sheets skills — advanced formulas, charts, pivot tables, and data automation Experience with Power BI, Looker Studio , and building custom dashboards Solid command of Google Tag Manager (GTM ) - tag implementation, events, and working with the data layer Hands-on reporting experience across ad platforms like - Meta Ads, Google Ads, Amazon Ads, Pinterest Ads, Bing Ads, or similar platforms Proficiency in GA4, structured UTM tagging , and basic attribution modeling Comfort working inside Shopify — understanding analytics, funnel data, and store performance Familiarity with SEO tools like Ahrefs, SEMrush, and Google Search Console Bonus: Experience with Supermetrics, Google BigQuery, or light SQL querying Clear communication—you can turn complex data into actionable insights and recommendations 💬 Why You’ll Love This Role · You’ll help define how performance is measured and optimized across amazing brands · You’ll work directly with creatives, strategists, and leadership—your insights will drive action · You’ll be trusted to build systems, not just follow instructions · You’ll grow your skills fast across channels, tools, and performance disciplines · You’ll have ownership, autonomy, and impact ✅ To Apply, You Should Be Extremely comfortable and hands-on with these tools: Excel / Google Sheets Power BI GTM (Google Tag Manager) Shopify Looker Studio Ahrefs SEMrush GA4 🚀 Working knowledge of these tools is a big plus: Google Ads Meta Ads Amazon Ads Pinterest Ads Bing Ads Google BigQuery / SQL ClickUp Todoist Social Media Platforms 🌟 Being a Cultural Fit Matters We move fast, work hard, and expect you to take ownership—not just of your tasks, but of your impact. Some things that’ll help you thrive in this role: Be organized and on time – We respect each other’s time and stay ahead of deadlines. Be proactive and communicative – Share your wins, your blockers, and your questions. Speak up early and often. Work in the future – Plan ahead. Anticipate needs before they arise. Keep things moving. Stay data-obsessed – Let insights drive your decisions, not assumptions. 💼 About Alviras Solutions Alviras Solutions is a performance-driven digital marketing agency helping eCommerce brands grow with clarity and purpose. We specialize in building intelligent systems for paid media, analytics, SEO, and creative strategy. Our clients trust us not just to execute—but to think, test, and scale with intention. We’re small, sharp, and selective. And we’re building a team of thoughtful operators who want to do great work, not just more work.

As a Senior Power BI Developer at our company in Ahmedabad, you will play a crucial role in designing, developing, and maintaining interactive and user-friendly Power BI dashboards and reports. Your primary responsibility will be to translate business requirements into functional and technical specifications and perform data modeling, DAX calculations, and Power Query transformations. You will also be involved in integrating data from multiple sources including SQL Server, Excel, SharePoint, and APIs, optimizing Power BI datasets, reports, and dashboards for performance and usability, and ensuring security and governance best practices in Power BI workspaces and datasets. Collaboration with business analysts, data engineers, and stakeholders to ensure data accuracy and relevance is key, along with providing ongoing support and troubleshooting for existing Power BI solutions. Staying updated with Power BI updates, best practices, and industry trends will be an ongoing focus. The ideal candidate for this role should hold a Bachelors's degree in Computer Science, Information Technology, Data Analytics, or a related field with at least 4+ years of professional experience in data analytics or business intelligence. A minimum of 3+ years of hands-on experience with Power BI (Power BI Desktop, Power BI Service) is required, along with strong expertise in DAX, Power Query (M Language), and data modeling (star/snowflake schema). Proficiency in writing complex SQL queries and optimizing them for performance is essential, as well as experience in working with large and complex datasets. Familiarity with BigQuery, MySQL, and Looker Studio would be advantageous, and experience in the Ecommerce industry will be an added advantage. A solid understanding of data warehousing concepts and ETL processes is necessary, and experience with version control tools such as Power Apps & Power Automate would be a plus. Preferred qualifications for this role include Microsoft Power BI Certification (PL-300 or equivalent), experience with Azure Data Services (Azure Data Factory, Azure SQL, Synapse), knowledge of other BI tools (Tableau, Qlik), and familiarity with scripting languages (Python, R) for data analysis. Experience integrating Power BI into web portals using Power BI Embedded would also be beneficial. If you have the skills in PowerBI, DAX, Looker, MySQL, data modeling, and data visualization, and are looking to take on a challenging role that offers opportunities for growth and learning, we encourage you to apply for this exciting position.,

Business Development Executive (Analytics & Automation Services) Location: Remote (India-based) Type: Full-Time | Long-Term Target Market: U.S.-based Med Spa, Aesthetic Clinics, and Marketing Agencies Working Hours: Must have 4+ hours overlap with EST timezone 🚀 About the Role We’re looking for a smart, driven, and high-performing Business Development Executive to spearhead our client acquisition efforts in the med spa and healthcare service sector in the U.S. As the first touchpoint for our clients, you will be responsible for generating leads, qualifying prospects, pitching data and automation solutions, and closing contracts for analytics projects involving GA4, Looker Studio, BigQuery, CRM automation, and reporting . This is a key growth role with a long-term path to Sales Manager/Director as we scale globally. 🎯 Key Responsibilities Identify and reach out to potential clients in the med spa, aesthetic clinics, and digital marketing sectors in the U.S. via cold calls, emails, LinkedIn, and Upwork. Qualify inbound and outbound leads and convert them into warm opportunities. Understand client pain points and propose tailored solutions using our analytics, automation, and dashboarding services. Prepare pitch decks, proposals, and SOWs in collaboration with the tech team. Schedule and lead client discovery calls and sales demos. Maintain CRM (HubSpot, Notion, or Airtable) with accurate pipeline data and follow-ups. Collaborate with the founder and marketing team to refine ICPs and sales strategy. Meet and exceed monthly targets for qualified meetings and closed contracts. ✅ Required Qualifications 2+ years of experience in B2B sales or business development , preferably in tech, SaaS, or digital/analytics services. Strong communication and storytelling skills, with a consultative sales approach. Ability to understand and pitch data, dashboards, or marketing technology services . Familiarity with tools like LinkedIn Sales Navigator, Upwork, email outreach, or cold calling . Comfortable working in U.S. time zones and managing international clients. 🌟 Bonus (Preferred but not mandatory) Experience selling Google Analytics, dashboarding, CRM, or automation solutions . Familiarity with GoHighLevel, Aesthetic Record, CallTracking, or HIPAA-compliant services . Understanding of lead gen tools like Apollo, Lemlist, or Instantly.ai. 💼 What We Offer Base salary + attractive commissions/bonuses Full remote flexibility Direct access to U.S. clients and decision-makers Rapid growth trajectory and promotion path Opportunity to work with a forward-thinking analytics & automation agency 📩 How to Apply Send your resume + a short pitch on why you’re the best fit to: 📧 hr@opin.solutions

INSTACHEW is a pet products company based out of Canada with the mission of making pet care easy. Our product assortment are innovative and expansive offering myriad of solutions to pet parents. We are proud to have our products available through small and major retailers across North America. The candidate for this position will be working remotely during the operating hours of the business (Toronto Eastern Standard Time) or as specified by the company. Ecommerce Channel Management (Shopify, Amazon, Walmart, Chewy): Manage day-to-day operations across all major platforms including product listings, inventory, pricing, and promotions Optimize product pages with compelling copy, images, A+ content, SEO keywords, and accurate specifications Ensure inventory accuracy and fulfillment coordination by working closely with warehouse and logistics teams Handle platform compliance, backend setup, and troubleshooting (e.g., suppressed listings, chargebacks, content errors) Launch and manage campaigns such as Lightning Deals, coupons, and sponsored placements on marketplaces Monitor performance metrics including sales velocity, Buy Box wins, return rates, and customer feedback Shopify-Specific Operations: Oversee product onboarding, merchandising strategy, and landing page CRO Collaborate with the development team to implement apps and integrations that enhance conversion and AOV Drive subscription adoption for cloud services and consumables Paid Advertising (Google Ads, Meta/Facebook Ads): Develop, launch, and manage paid campaigns focused on ROAS, CAC, and conversion optimization Execute full-funnel campaign strategies across Google Search, Display, Shopping, Performance Max, and Meta Conduct ongoing A/B testing of creatives, headlines, landing pages, and audiences Monitor budgets, KPIs, and ad performance, generating insights and monthly reporting Collaborate with designers and content creators to align visual assets with campaign objectives Analytics, Reporting & Strategy: Own ecommerce and ad performance dashboards using GA4, Looker Studio, or similar tools Provide weekly and monthly performance reports with actionable insights Qualifications 3–5 years of hands-on experience in ecommerce and/or digital marketing roles Proven success managing Shopify and at least two marketplaces (Amazon, Walmart, Chewy) Deep familiarity with Meta Ads Manager and Google Ads (Search, Shopping, Display) Proficient in using ecommerce tools and analytics platforms (GA4, Helium 10, Amazon Seller Central, etc.) Experience managing digital product content, pricing strategy, inventory sync tools, and fulfillment processes Exceptional organizational and project management skills Bonus: Experience with pet products, subscription-based ecommerce, or smart home tech

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Analyst, Inclusive Innovation & Analytics, Center for Inclusive Growth Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. The Center for Inclusive Growth is the social impact hub at Mastercard. The organization seeks to ensure that the benefits of an expanding economy accrue to all segments of society. Through actionable research, impact data science, programmatic grants, stakeholder engagement and global partnerships, the Center advances equitable and sustainable economic growth and financial inclusion around the world. The Center’s work is at the heart of Mastercard’s objective to be a force for good in the world. Reporting to Vice President, Inclusive Innovation & Analytics, the Analyst, will 1) create and/or scale data, data science, and AI solutions, methodologies, products, and tools to advance inclusive growth and the field of impact data science, 2) work on the execution and implementation of key priorities to advance external and internal data for social strategies, and 3) manage the operations to ensure operational excellence across the Inclusive Innovation & Analytics team. Key Responsibilities Data Analysis & Insight Generation Design, develop, and scale data science and AI solutions, tools, and methodologies to support inclusive growth and impact data science. Analyze structured and unstructured datasets to uncover trends, patterns, and actionable insights related to economic inclusion, public policy, and social equity. Translate analytical findings into insights through compelling visualizations and dashboards that inform policy, program design, and strategic decision-making. Create dashboards, reports, and visualizations that communicate findings to both technical and non-technical audiences. Provide data-driven support for convenings involving philanthropy, government, private sector, and civil society partners. Data Integration & Operationalization Assist in building and maintaining data pipelines for ingesting and processing diverse data sources (e.g., open data, text, survey data). Ensure data quality, consistency, and compliance with privacy and ethical standards. Collaborate with data engineers and AI developers to support backend infrastructure and model deployment. Team Operations Manage team operations, meeting agendas, project management, and strategic follow-ups to ensure alignment with organizational goals. Lead internal reporting processes, including the preparation of dashboards, performance metrics, and impact reports. Support team budgeting, financial tracking, and process optimization. Support grantees and grants management as needed Develop briefs, talking points, and presentation materials for leadership and external engagements. Translate strategic objectives into actionable data initiatives and track progress against milestones. Coordinate key activities and priorities in the portfolio, working across teams at the Center and the business as applicable to facilitate collaboration and information sharing Support the revamp of the Measurement, Evaluation, and Learning frameworks and workstreams at the Center Provide administrative support as needed Manage ad-hoc projects, events organization Qualifications Bachelor’s degree in Data Science, Statistics, Computer Science, Public Policy, or a related field. 2–4 years of experience in data analysis, preferably in a mission-driven or interdisciplinary setting. Strong proficiency in Python and SQL; experience with data visualization tools (e.g., Tableau, Power BI, Looker, Plotly, Seaborn, D3.js). Familiarity with unstructured data processing and robust machine learning concepts. Excellent communication skills and ability to work across technical and non-technical teams. Technical Skills & Tools Data Wrangling & Processing Data cleaning, transformation, and normalization techniques Pandas, NumPy, Dask, Polars Regular expressions, JSON/XML parsing, web scraping (e.g., BeautifulSoup, Scrapy) Machine Learning & Modeling Scikit-learn, XGBoost, LightGBM Proficiency in supervised/unsupervised learning, clustering, classification, regression Familiarity with LLM workflows and tools like Hugging Face Transformers, LangChain (a plus) Visualization & Reporting Power BI, Tableau, Looker Python libraries: Matplotlib, Seaborn, Plotly, Altair Dashboarding tools: Streamlit, Dash Storytelling with data and stakeholder-ready reporting Cloud & Collaboration Tools Google Cloud Platform (BigQuery, Vertex AI), Microsoft Azure Git/GitHub, Jupyter Notebooks, VS Code Experience with APIs and data integration tools (e.g., Airflow, dbt) Ideal Candidate You are a curious and collaborative analyst who believes in the power of data to drive social change. You’re excited to work with cutting-edge tools while staying grounded in the real-world needs of communities and stakeholders. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-253034

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Analyst, Inclusive Innovation & Analytics, Center for Inclusive Growth Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. The Center for Inclusive Growth is the social impact hub at Mastercard. The organization seeks to ensure that the benefits of an expanding economy accrue to all segments of society. Through actionable research, impact data science, programmatic grants, stakeholder engagement and global partnerships, the Center advances equitable and sustainable economic growth and financial inclusion around the world. The Center’s work is at the heart of Mastercard’s objective to be a force for good in the world. Reporting to Vice President, Inclusive Innovation & Analytics, the Analyst, will 1) create and/or scale data, data science, and AI solutions, methodologies, products, and tools to advance inclusive growth and the field of impact data science, 2) work on the execution and implementation of key priorities to advance external and internal data for social strategies, and 3) manage the operations to ensure operational excellence across the Inclusive Innovation & Analytics team. Key Responsibilities Data Analysis & Insight Generation Design, develop, and scale data science and AI solutions, tools, and methodologies to support inclusive growth and impact data science. Analyze structured and unstructured datasets to uncover trends, patterns, and actionable insights related to economic inclusion, public policy, and social equity. Translate analytical findings into insights through compelling visualizations and dashboards that inform policy, program design, and strategic decision-making. Create dashboards, reports, and visualizations that communicate findings to both technical and non-technical audiences. Provide data-driven support for convenings involving philanthropy, government, private sector, and civil society partners. Data Integration & Operationalization Assist in building and maintaining data pipelines for ingesting and processing diverse data sources (e.g., open data, text, survey data). Ensure data quality, consistency, and compliance with privacy and ethical standards. Collaborate with data engineers and AI developers to support backend infrastructure and model deployment. Team Operations Manage team operations, meeting agendas, project management, and strategic follow-ups to ensure alignment with organizational goals. Lead internal reporting processes, including the preparation of dashboards, performance metrics, and impact reports. Support team budgeting, financial tracking, and process optimization. Support grantees and grants management as needed Develop briefs, talking points, and presentation materials for leadership and external engagements. Translate strategic objectives into actionable data initiatives and track progress against milestones. Coordinate key activities and priorities in the portfolio, working across teams at the Center and the business as applicable to facilitate collaboration and information sharing Support the revamp of the Measurement, Evaluation, and Learning frameworks and workstreams at the Center Provide administrative support as needed Manage ad-hoc projects, events organization Qualifications Bachelor’s degree in Data Science, Statistics, Computer Science, Public Policy, or a related field. 2–4 years of experience in data analysis, preferably in a mission-driven or interdisciplinary setting. Strong proficiency in Python and SQL; experience with data visualization tools (e.g., Tableau, Power BI, Looker, Plotly, Seaborn, D3.js). Familiarity with unstructured data processing and robust machine learning concepts. Excellent communication skills and ability to work across technical and non-technical teams. Technical Skills & Tools Data Wrangling & Processing Data cleaning, transformation, and normalization techniques Pandas, NumPy, Dask, Polars Regular expressions, JSON/XML parsing, web scraping (e.g., BeautifulSoup, Scrapy) Machine Learning & Modeling Scikit-learn, XGBoost, LightGBM Proficiency in supervised/unsupervised learning, clustering, classification, regression Familiarity with LLM workflows and tools like Hugging Face Transformers, LangChain (a plus) Visualization & Reporting Power BI, Tableau, Looker Python libraries: Matplotlib, Seaborn, Plotly, Altair Dashboarding tools: Streamlit, Dash Storytelling with data and stakeholder-ready reporting Cloud & Collaboration Tools Google Cloud Platform (BigQuery, Vertex AI), Microsoft Azure Git/GitHub, Jupyter Notebooks, VS Code Experience with APIs and data integration tools (e.g., Airflow, dbt) Ideal Candidate You are a curious and collaborative analyst who believes in the power of data to drive social change. You’re excited to work with cutting-edge tools while staying grounded in the real-world needs of communities and stakeholders. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-253034

This is a full-time work from home opportunity for a star BI data engineer from India. IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1500 people across 20+ countries, and have revenues in excess of $1.5 billion. We are looking for a Mid-level Business Intelligence Engineer to join our global team. If you are highly intelligent, motivated, ambitious, ready to learn and make a direct impact, this is your opportunity! The individual in this role will perform data analysis, ELT/ETL design and support functions to deliver on strategic initiatives to meet organizational goals across many lines of business. The interview process will be conducted in English Responsibilities: Develop, document, and test ELT/ETL solutions using industry standard tools (Snowflake, Denodo Data Virtualization, Looker) Recommend process improvements to increase efficiency and reliability in ELT/ETL development Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient ELT/ ETL processes Collaborate with Quality Assurance resources to debug ELT/ETL development and ensure the timely delivery of products Should be willing to explore and learn new technologies and concepts to provide the right kind of solution Target and result oriented with strong end user focus Effective oral and written communication skills with BI team and user community Requirements: 5+ years of experience in ETL/ELT design and development, integrating data from heterogeneous OLTP systems and API solutions, and building scalable data warehouse solutions to support business intelligence and analytics Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing Experience in data analysis, root cause analysis and proven problem solving and analytical thinking capabilities Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources Demonstrated expertise in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Oracle, MySQL, Amazon RDS, Snowflake, Amazon Redshift, etc Proven ability to analyze and optimize poorly performing queries and ETL/ELT mappings, providing actionable recommendations for performance tuning Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment Excellent English communication skills Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights. Pluses Experience in developing ETL/ELT processes within Snowflake and implementing complex data transformations using built-in functions and SQL capabilities Experience using Pentaho Data Integration (Kettle) / Ab Initio ETL tools for designing, developing, and optimizing data integration workflows. Experience designing and implementing cloud-based ETL solutions using Azure Data Factory, DBT, AWS Glue, Lambda and open-source tools Experience with reporting/visualization tools (e.g., Looker) and job scheduler software Experience in Telecom, eCommerce, International Mobile Top-up Education: BS/MS in computer science, Information Systems or a related technical field or equivalent industry expertise Preferred Certification: AWS Solution Architect, AWS Cloud Data Engineer, Snowflake SnowPro Core Please attach CV in English. The interview process will be conducted in English. Only accepting applicants from INDIA

At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo. ZoomInfo is seeking a Business Intelligence Analyst III to play a pivotal role in scaling our product analytics operations and empowering teams with the tools and insights they need to make fast, data-driven decisions. Based in India, this role is at the center of enabling world-class product intelligence, ensuring our tools, dashboards, and systems run seamlessly and are fully leveraged by product managers across the organization. You’ll work closely with Product Managers, Product Operations, Data Engineering, and other stakeholders to maintain, improve, and evangelize analytics tooling. You’ll also be responsible for increasing tool adoption and proficiency across the product organization, ensuring every team has the skills and access they need to extract value from our data stack. This role is ideal for someone who loves blending technical expertise with cross-functional enablement, and is excited about making product analytics more accessible, scalable, and impactful. You will serve as the primary expert and champion for analytics tools like Amplitude and Tableau, ensuring every team can self-serve insights and make confident decisions. What You'll Do: Lead Amplitude administration and governance across the organization, including managing user permissions, monitoring and optimizing event and property usage, maintaining clean and scalable instrumentation, curating key dashboards and cohorts, and driving best practices to ensure long-term data hygiene and analytics consistency. Drive product analytics enablement : lead training and upskilling efforts for Product Managers and other stakeholders in tools like Amplitude and Tableau, introducing advanced features (e.g., screen recordings, heatmaps, and in-platform guides). Maintain and optimize Tableau dashboards : ensure business-critical dashboards are accurate, performant, and relevant to evolving product and business needs. Own Tableau online administration , including project structure, permissions, consistent naming conventions, and documentation. Maintain and optimize business-critical dashboards to ensure they are accurate, performant, and aligned with evolving product and business needs Establish and maintain best practices in tool usage and data accessibility, partnering with Data Engineering and Product Operations to improve data literacy across the organization. Document and operationalize tooling workflows for product analytics processes, such as event naming conventions, funnel tracking, retention metrics, and user segmentation. Monitor analytics tool adoption and effectiveness : gather feedback, identify gaps, and implement improvements to ensure teams are getting the most out of our analytics investments. Act as a bridge between technical and non-technical teams : translate business needs into technical requirements and vice versa, ensuring tool functionality aligns with real-world usage. Proactively recommend tooling enhancements and identify opportunities to scale self-service analytics capabilities across product teams. Automate recurring reports and enable a self-service analytics environment : Streamline regular reporting processes through automation and empower teams to independently explore insights and access key metrics via intuitive, reusable dashboards. Support ad-hoc analytical requests from Product and cross-functional teams : Translate business questions into structured analyses and deliver timely, actionable insights to inform decisions. What You Bring: Bachelor’s degree in Analytics, Computer Science, Information Systems, or a related field. 4+ years of experience in business intelligence, product analytics, or data operations within a SaaS or tech environment. At least 1-2 years of experience with Amplitude and at least 2 years with Tableau, including administration, dashboard development, and stakeholder training. Strong SQL skills with at least 4 years of hands-on experience, including query optimization and a solid understanding of data modeling concepts. Proven ability to lead enablement programs and deliver effective training content for both technical and non-technical audiences. Strong communication and collaboration skills to work effectively with cross-functional stakeholders. Experience managing tooling documentation, data taxonomies, or analytics governance frameworks (preferred). A passion for helping teams work smarter and more effectively with data. Strong project management skills to lead multiple initiatives in a fast-paced, data-driven environment. Bonus Experience: Experience with dbt, Snowflake and ETL tools Knowledge of product lifecycle metrics or product experimentation (e.g., A/B testing platforms) Data quality monitoring tools (e.g., Monte Carlo, Great Expectations) Python knowledge and experience Familiarity with tools like Looker, Mixpanel, Google Analytics, or other BI platforms. Experience working in a distributed or global team environment. About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

About Us Liberis is on a mission to supercharge the power of small businesses all over the world - delivering the financial products they need to grow through a network of global partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers’ real time needs and tech to offer tailor-made funding and financial products. Empowering small businesses to grow and keep their independent spirit alive is central to our vision. Up to now we have funded almost 40,000 small businesses with over $1.5bn - but we believe there is much more to be done. The team We are the Risk team responsible for managing the credit risk of Liberis’ portfolios, which include designing effective new strategies, managing the credit quality of our products across geographies, and providing specialist credit risk advice to the business. The Risk team is based in London and covers Risk analytics, Decision Science, Underwriting and Collections. Our mission is to grow Liberis profitably to become the leading embedded business finance provider and we are now looking for a Analyst/Senior Credit Risk Analyst to join us on this journey. The role You are someone that is excited by the prospect of a challenge, appreciate autonomy and the space to generate your own ideas and are passionate about finance that serves to support small businesses, not just turn a profit. Reporting to the Senior Manager in the Risk Management team you will develop best in class credit risk strategies that reward our members and deliver value to Liberis. You will have the opportunity to work on a broad range of projects and workstreams that provide credit risk insights while ensuring we stay within the organisation’s risk appetite. You should have experience in a similar analytical role where you have used statistical and analytical tools to drive innovative strategy changes. You should be able to derive insights from data and be able to present results in a concise way to relevant stakeholders. What You’ll Be Doing Develop and monitor credit risk strategies, balancing risk against returns. These strategies may cover a variety of different channels and products, and cover the full credit lifecycle, from new business to Collections Develop framework to monitor risk performance of portfolios to ensure that they are performing within expectations. Review acquisitions and portfolio trends, transforming data into recommendations to the business, identifying both risks and opportunities that require action Represent risk to the wider business, driving changes via the product team and presenting analytical work to senior management Deliver insights and optimisation of our risk performance and applying this to all of Liberis’s existing and new products globally Closely collaborate with colleagues across Liberis, especially in the Analytics, Data Science, Growth, Partnerships and UK/US/European teams What We Think You’ll Need Experience in an analytical role - ideally around 2-4 years experience Ability to drive forward initiatives especially in a rapidly evolving environment Demonstrated ability to drive high-quality analysis, with robust understanding of how this will be used practically Willingness and ability to do hands-on work using a range of data sources and analytical tools A collaborative mindset and willingness to work with a wide range of teams Exceptional Excel skills, with proficiency in SQL or SAS or Python and experience with Google Cloud Platform tools such as Looker, DBT and BQ would be a plus but not a must-have. Ability to convey complex findings in a logical and easy-to-understand style Turns rigorous analysis into clear, reasoned recommendations Ability to refocus as needed to support a rapidly growing and evolving company By submitting your CV you understand that we have a legitimate interest to use your personal data for the purposes of assessing your eligibility for this role. This means that we may use your personal data to contact you to discuss your CV or arrange an interview, or transfer your CV to the hiring manager(s) of the role you have applied for. You can ask us at any time to remove your CV from our database by emailing recruitment@blenheimchalcot.com – but please note that this means we will no longer consider you for the role you have applied for. You can review our privacy policy here.

What youll do on a typical day: Data Visualization: Design, develop, and maintain interactive data visualizations and reports using looker. Data Modeling: Create and optimize data models to support business requirements. Data Integration: Integrate looker reports into other applications for enhanced business capabilities. Performance Optimization: Monitor and optimize the performance of looker reports and dashboards. Collaboration: Work with business stakeholders to understand their data visualization and business intelligence needs. Continuously improve technical design patterns, workflows, and tools—defining and enforcing standards when necessary to sustain the platform’s effectiveness and sustainability, experimenting with and promoting adoption of new tools and approaches when appropriate Security: Implement different security measures on data and ensure compliance with data governance policies. Documentation: Document processes and methodologies used in developing reporting solutions. What you need to succeed at XPO: At a minimum, you’ll need: Qualification: Bachelor’s / master’s degree in computer science, Information Technology, or a related field. Experience: 3 plus years of experience in data analysis, data visualization, and business intelligence using BI Tools (Looker, Power BI, Tableau, etc.), Technical Skills: Proficiency in writing SQL queries, solid understanding of Data Warehouse and data modeling concepts. Analytical Skills: Strong analytical and problem-solving skills. Communication: Excellent communication and teamwork skills. Experience with Cloud Platforms such as Google Cloud Platform and Google Big Query Experience with programming languages like python, R etc. Understanding of version controlling tools GitHub, SVN, TFS etc. Google Cloud Platform or Looker certification a big plus

We are looking for a skilled Implementation & Analytics Specialist to support marketing and product teams in setting up, validating, and maintaining analytics infrastructure. The ideal candidate will have deep technical knowledge of GA4 and Segment.io, a strong QA discipline, and the ability to generate meaningful reports and insights from digital data. Key Responsibilities Handle day-to-day BAU implementation and QA tasks. Support new product launches with complete analytics setup. Partner with marketing teams to ensure campaign tagging and reporting are in place. Execute analytics QA using tools and browser-based debugging methods(both mobile & Web). Configure dashboards and conduct ad hoc analysis to support business teams. Maintain documentation and best practices for implementation and tracking governance. Skills & Qualifications: 6+ years in web/digital analytics implementation and reporting. Hands-on experience with GA4 event setup, custom dimensions, and reporting logic. Strong working knowledge of Segment.io and data pipeline configuration. Familiarity with tag management platforms (GTM, Adobe Launch, etc.) is a plus. Strong Experience with Dashboard too l(looker studio,tableau, PowerBI). Excellent QA habits and a detail-oriented mindset. Ability to work independently and manage cross-functional collaboration. Technology Platforms & Tools Google Analytics 4 (GA4) Segment.io OR CDP Tools Event tracking configuration Data routing and source/destination setup Understanding of schema consistency

Job Title: Data Engineer Location: Chennai Experience Level: 3-6 Years Employment Type: Full-time About Us: SuperOps is a SaaS start-up empowering IT service providers and IT teams around the world with technology that is cutting-edge, future-ready, and powered by AI. We are backed by marquee investors like Addition, March Capital, Matrix Partners India, Elevation Capital, and Tanglin Venture Partners. Founded by Arvind Parthiban, a serial entrepreneur, and Jayakumar Karumbasalam, a veteran in the IT space, SuperOps is built on the back of a team of engineers, product architects, designers, and AI experts, who want to reshape the world of IT. Now we have taken on a market that is plagued by legacy solutions and subpar experiences. The potential to do something great is immense. So if you love to grow, be part of a kickass team that inspires you to do more, and make an everlasting mark in the world of IT, SuperOps is the place to be. We also believe that the journey is as important as the destination. We want to build the best products out there and have fun while doing so. So come, and be part of our A-star team of superheroes. We are looking for a talented Senior Front-End Engineer to join our engineering team. As a senior member of our team, you will be responsible for creating responsive, efficient, and engaging user interfaces for our platform. Role Summary: We are seeking a skilled and motivated Data Engineer to join our growing team. In this role, you will be instrumental in designing, building, and maintaining our data infrastructure, ensuring that reliable and timely data is available for analysis across the organization. You will work closely with various teams to integrate data from diverse sources and transform it into actionable insights that drive our business forward. Key Responsibilities: Design, develop, and maintain scalable and robust data pipelines to ingest data from various sources, including CRM systems (e.g., Salesforce), Billing platforms, Product Analytics tools (e.g., Mixpanel, Amplitude), and Marketing platforms (e.g., Google Ads, Hubspot). Build, manage, and optimize our data warehouse to serve as the central repository for all business-critical data. Implement and manage efficient data synchronization processes between source systems and the data warehouse. Oversee the storage and management of raw data, ensuring data integrity and accessibility. Develop and maintain data transformation pipelines (ETL/ELT) to process raw data into clean, structured formats suitable for analytics, reporting, and dashboarding. Ensure seamless synchronization and consistency between raw and processed data layers. Collaborate with data analysts, product managers, and other stakeholders to understand data needs and deliver appropriate data solutions. Monitor data pipeline performance, troubleshoot issues, and implement improvements for efficiency and reliability. Document data processes, architectures, and definitions. Qualifications: Proven experience as a Data Engineer for 5 to 8 years of experience Strong experience in designing, building, and maintaining data pipelines and ETL/ELT processes. Proficiency with data warehousing concepts and technologies (e.g., BigQuery, Redshift, Snowflake, Databricks). Experience integrating data from various APIs and databases (SQL, NoSQL). Solid understanding of data modeling principles. Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL). Experience with workflow orchestration tools (e.g., Airflow, Prefect, Dagster). Familiarity with cloud platforms (e.g., AWS, GCP, Azure). Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Bonus Points: Experience working in a SaaS company. Understanding of key SaaS business metrics (e.g., MRR, ARR, Churn, LTV, CAC). Experience with data visualization tools (e.g., Tableau, Looker, Power BI). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Why Join Us? Impact: You'll work on a product that is revolutionising IT service management for MSPs and IT teams worldwide. Growth: SuperOps is growing rapidly, and there are ample opportunities for career progression and leadership roles. Collaboration: Work with talented engineers, designers, and product managers in a supportive and innovative environment

-About the Role : We are seeking an Analytics Manager to lead our analytics function, owning the roadmap, execution, and team delivery across business units. This is a hands-on role where you will work across growth, product, and operations to deliver high-impact insights, steer strategic decisions, and manage a small but high-performing team of analysts. -Responsibilities : Analytics Leadership & Execution Lead a team of data analysts to deliver high-quality analysis and reporting across functions Drive the analytics roadmap: define priorities, align with stakeholders, and ensure timely execution Perform deep-dive analysis using statistical techniques like funnel, pre-post, and impact analysis Own and execute critical projects such as streamlining factory reports, PNL analysis buyer attribution, lead funnel optimization, pricing strategy, etc. Stakeholder Collaboration Work closely with leadership, sales, product, and ops teams to understand data needs and translate them into actionable insights Proactively share updates, push data-driven thinking, and influence business decisions with clear, concise insights Reporting & Visualization Develop and maintain scalable dashboards and self-serve reporting tools to democratize data across the org Ensure real-time visibility into business KPIs, conversion funnels, retention metrics, etc. Team Development & Data Quality Mentor analysts and ensure timely delivery of ad-hoc and recurring tasks Ensure data accuracy through audits, validations, and process improvements Identify opportunities to automate workflows and enhance data efficiency -Required Skills : Proficiency in SQL, Excel, and hands-on data modeling Strong understanding of statistical methods and business experimentation Experience with visualization tools like Looker, Tableau, or Power BI Strong business acumen and ability to communicate insights to non-technical stakeholders Experience managing and mentoring analysts Ability to prioritize tasks, manage timelines, and execute under tight deadlines -Why Join Us? You’ll be at the heart of India's booming D2C revolution, working alongside a high-performing team solving complex, real-world problems. Here, your insights won’t sit on a dashboard, they’ll directly impact decisions across product, growth, and strategy!

Title : Senior Risk Analyst (Portfolio Management) About Us Liberis is on a mission to supercharge the power of small businesses all over the world - delivering the financial products they need to grow through a network of global partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers’ real time needs and tech to offer tailor-made funding and financial products. Empowering small businesses to grow and keep their independent spirit alive is central to our vision. Up to now we have funded almost 40,000 small businesses with over $1.5bn - but we believe there is much more to be done. The team We are the Risk team responsible for managing the credit risk of Liberis’ portfolios, which include designing effective new strategies, managing the credit quality of our products across geographies, and providing specialist credit risk advice to the business. The Risk team is based in London and covers Risk analytics, Decision Science, Underwriting and Collections. Our mission is to grow Liberis profitably to become the leading embedded business finance provider and we are now looking for a Analyst/Senior Credit Risk Analyst to join us on this journey. The role You are someone that is excited by the prospect of a challenge, appreciate autonomy and the space to generate your own ideas and are passionate about finance that serves to support small businesses, not just turn a profit. Reporting to the Senior Manager in the Risk Management team you will develop best in class credit risk strategies that reward our members and deliver value to Liberis. You will have the opportunity to work on a broad range of projects and workstreams that provide credit risk insights while ensuring we stay within the organisation’s risk appetite. You should have experience in a similar analytical role where you have used statistical and analytical tools to drive innovative strategy changes. You should be able to derive insights from data and be able to present results in a concise way to relevant stakeholders. What You’ll Be Doing Develop and monitor credit risk strategies, balancing risk against returns. These strategies may cover a variety of different channels and products, and cover the full credit lifecycle, from new business to Collections Develop framework to monitor risk performance of portfolios to ensure that they are performing within expectations. Review acquisitions and portfolio trends, transforming data into recommendations to the business, identifying both risks and opportunities that require action Represent risk to the wider business, driving changes via the product team and presenting analytical work to senior management Deliver insights and optimisation of our risk performance and applying this to all of Liberis’s existing and new products globally Closely collaborate with colleagues across Liberis, especially in the Analytics, Data Science, Growth, Partnerships and UK/US/European teams What We Think You’ll Need Experience in an analytical role - ideally around 2-4 years experience Ability to drive forward initiatives especially in a rapidly evolving environment Demonstrated ability to drive high-quality analysis, with robust understanding of how this will be used practically Willingness and ability to do hands-on work using a range of data sources and analytical tools A collaborative mindset and willingness to work with a wide range of teams Exceptional Excel skills, with proficiency in SQL or SAS or Python and experience with Google Cloud Platform tools such as Looker, DBT and BQ would be a plus but not a must-have. Ability to convey complex findings in a logical and easy-to-understand style Turns rigorous analysis into clear, reasoned recommendations Ability to refocus as needed to support a rapidly growing and evolving company

Data Analyst (Sales Background) Hybrid (Bangalore, India) Full Time What you will do: ● Performance Analysis & Reporting: Design, develop, and maintain robust dashboards, reports, and analytical models to track key sales metrics, identify trends, and provide deep insights into sales performance across various segments (e.g., merchant acquisition, retention, growth, regional performance). ● Strategic Insights; Recommendations: Proactively identify opportunities for sales process improvements, efficiency gains, and revenue growth by analyzing sales data, market trends, and operational workflows. Present clear, concise, and actionable recommendations to sales leadership. ● Forecasting; Planning Support: Contribute to sales forecasting, capacity planning, and target setting processes by leveraging historical data, statistical models, and market intelligence to provide accurate projections. ● Data Infrastructure & Tools: Collaborate with data engineering and business intelligence teams to ensure data integrity, accessibility, and the development of scalable data solutions. Utilize SQL, Python, and advanced visualization tools (e.g., Tableau, Power BI) to extract, transform, and present data. ● Sales Optimization: Analyze sales funnel performance, conversion rates, and sales cycle efficiency to pinpoint bottlenecks and recommend solutions that streamline operations and enhance productivity. ● Ad-Hoc Analysis: Conduct deep-dive analyses on specific business questions or challenges, providing timely and accurate data-driven answers to support urgent strategic decisions. Preferred qualifications: ● Experience: ○ 5+ years of experience in Sales Operations, Business Intelligence, Data Analytics, or a similar analytical role, with a strong emphasis on sales performance. ○ Demonstrated experience in the Grocery, Retail, E-commerce, or Q-commerce industry is highly preferred. ○ Proven track record of translating complex data into clear, actionable insights and presenting them to senior leadership. ● Technical Skills: ○ Proficiency in SQL for data extraction and manipulation is required. ○ Proficiency with data visualization tools (e.g., Tableau, Power BI, Looker) for dashboard creation and reporting. ○ analytical programming skills in Python (Pandas, NumPy) or R for advanced data analysis and modeling. ○ Experience with CRM systems (e.g., Salesforce) and understanding of sales data structures. ● Analytical; Problem-Solving Skills: ○ Exceptional analytical and quantitative skills, with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. ○ Strong problem-solving abilities, capable of tackling complex business challenges with a data-driven approach. ● Communication ; Interpersonal Skills: ○ Excellent written and verbal communication skills, with the ability to articulate complex analytical concepts to non-technical stakeholders. ○ Strong interpersonal skills, with the ability to build relationships and influence cross-functional teams ● Education: ○ Bachelors degree in Business, Economics, Finance, Statistics, Computer Science, or a related quantitative field. Masters degree is a plus. ○ MBA from a top-tier school

Role - BI Analytics- Sigma Computing Location – Noida Exp – 5+ Years Job Description : - • Design, develop, and maintain dashboards and reports using Sigma Computing. • Collaborate with business stakeholders to understand data requirements and deliver actionable insights. • Write and optimize SQL queries that run directly on cloud data warehouses. • Enable self-service analytics for business users via Sigma's spreadsheet interface and templates. • Apply row-level security and user-level filters to ensure proper data access controls. • Partner with data engineering teams to validate data accuracy and ensure model alignment. • Troubleshoot performance or data issues in reports and dashboards. • Train and support users on Sigma best practices, tools, and data literacy. Required Skills & Qualifications: • 5+ years of experience in Business Intelligence, Analytics, or Data Visualization roles. • Hands-on experience with Sigma Computing is highly preferred. • Strong SQL skills and experience working with cloud data platforms (Snowflake, BigQuery, Redshift, etc.). • Experience with data modeling concepts and modern data stacks. • Ability to translate business requirements into technical solutions. • Familiarity with data governance, security, and role-based access controls. • Excellent communication and stakeholder management skills. • Experience with Looker, Tableau, Power BI, or similar tools (for comparative insight). • Familiarity with dbt, Fivetran, or other ELT/ETL tools. • Exposure to Agile or Scrum methodologies.

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-makin g. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to : Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Data Analyst Passionate and results-driven Data Engineer with a proven track record of designing and implementing robust data solutions on Google Cloud Platform (GCP). Specializing in GCP BigQuery, Looker, SQL Responsibiliti es : Write and optimize SQL queries to extract, transform, and load (ETL) data from various sources. Analyze complex datasets to derive actionable insights for business stakeholders. Proficient in working with Google Cloud Platform, particularly BigQuery. Design, implement, and optimize data pipelines using GCP services. Develop and maintain LookML models in Looker for creating interactive and dynamic dashboards. Collaborate with business users to understand reporting requirements and translate them into Looker v isualizations. Configure and manage data virtualization using AtScale to provide a unified view of data across multiple sources. Ensure data consistency and performance in virtualized environments. Implement and enforce data governance policies to ensure data quality, security, and compliance. Work closely with cross-function al teams to establish best practices for data management. Identify and implement optimizations in SQL queries and data processing pipelines for improved performance. Troubleshoot and resolve performance-re lated issues. Document data models, ETL processes, and data definitions. Provide training and support to end-users on data tools and platforms. Requirements : Information Systems, or a related field with 3-6 years of experience in Data Engineering domain. Proven experience with SQL and database management systems. Hands-on experience with Google Cloud Platform, specifically BigQuery. Proficiency in Looker for data visualization and reporting. Familiarity with AtScale for data v irtualization. Strong analytical and problem-solvin g skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Knowledge of data governance principles and best practices. Good to have Certification in GCP, Looker, or AtScale. Familiarity with Tableau tool Familiarity with scripting languages (e.g., Python). Knowledge of data warehousing concepts and best practices. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 301688