Senior Consultant - CPG Analytics

We are seeking a talented and experienced Senior Data Analyst to join our Enterprise Analytics team at GitLab. As a key member of our analytics team, you will leverage your expertise in data analysis to provide actionable insights that drive strategic decision-making across the organization. Your analytical skills will be crucial in transforming data into meaningful information that supports our business objectives.

GENERAL FUNCTION Join the dynamic Analytics team at Momentum Financial Services Group as a Senior Analyst in Data Analytics within our expanding Risk Group. Directly reporting to the Senior Manager of Analytics, you will serve as the key data expert, delivering insights, strategies, and solutions through a consultative approach to drive success for our business and clients. DUTIES/RESPONSIBILITIES Utilize your data expertise to analyze a diverse range of information, providing critical insights and solutions to optimize business operations. Proactively identify areas for improvement in existing data processes and reporting, fostering a culture of continuous enhancement. Create and design targeted reports and dashboards that deliver value and fulfill business requirements. Manipulate extensive data sets from various sources to generate comprehensive business metric reports. Communicate clear and actionable business strategies derived from complex data analyses to senior management. Expand your understanding of different business verticals and their operational usage of data. Facilitate regular interactions with business stakeholders, offering insights and data solutions that enhance their workflows. Conduct advanced statistical and financial analyses to identify trends, patterns, and business opportunities. Employ statistical modeling, predictive analytics, and machine learning techniques to derive deeper insights into business operations and market trends. Develop high-quality, visually engaging reports and dashboards utilizing tools like Tableau, Power BI, or Excel for stakeholders across all levels. Assist the Senior Manager of Analytics in defining key metrics, performance targets, and project priorities for the analytics department.

Role overview Western Digital Corporation seeks a Senior HR Data Analyst in Bengaluru. This role centers on working with complex HR data, using SQL and analytics to provide insights that inform strategic decisions. The focus is on making data understandable and actionable for the HR team and leadership. What you will do Work with large HR datasets, applying SQL and analytics tools to extract meaningful information Develop clear data visualizations that highlight trends and support HR strategies Present data findings and offer recommendations to improve HR processes Requirements Extensive experience with SQL and data analysis Ability to design effective data visualizations Strong analytical skills and attention to detail Genuine interest in using data to enhance HR outcomes

WHO WE ARE: Zinnia is a premier technology platform dedicated to fostering growth in life and annuities. Through innovative enterprise solutions and insightful data analytics, we streamline the processes of buying, selling, and managing insurance products, empowering individuals to secure their financial futures. Our achievements are anchored in our core values: be bold, collaborate effectively, and deliver exceptional value. With over $180 billion in assets under administration, we proudly serve more than 100 carrier clients, 2,500 distributors and partners, and over 2 million policyholders.WHO YOU ARE:We are on the lookout for an enthusiastic Senior Data Analyst with a robust blend of technical proficiency, business insight, and strategic problem-solving skills. In this pivotal role, you will independently spearhead analytics initiatives within the Operations team, transforming data into actionable insights that enhance efficiency, inform decision-making, and drive key business KPIs.Your collaboration with stakeholders across Operations, Product, Data Engineering, and Business Strategy will be crucial to uncovering opportunities for process optimization, automating decision-making, and developing scalable analytics frameworks. This highly impactful individual contributor role demands both advanced analytical capabilities and the skill to influence business strategy through data.WHAT YOU’LL DO:Lead Analytics Strategy: Proactively identify and take ownership of key analytics initiatives within Operations, focusing on efficiency enhancements and cost reduction.Advanced Analytics & Measurement: Go beyond conventional dashboards by employing inferential modeling, causal analysis, and experimental design to derive actionable insights.Experimentation & Testing: Design and execute A/B tests to assess the impact of operational enhancements, refining processes related to fraud detection, customer interactions, and compliance.Operational KPIs & Business Impact: Create frameworks to evaluate Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other crucial operational metrics, ensuring data-informed decision-making.Data Storytelling & Visualization: Convert intricate data insights into clear, actionable recommendations utilizing visual storytelling techniques.

Join our dynamic team at DemandMatrix as a Senior Data Analyst, where you will take the lead in various crucial areas:Deeply understanding the technology landscape and the significance of diverse technologies.Aligning business use cases with effective data solutions.Utilizing multiple data formats including JSON, CSV, XML, and HTML to derive insights for business strategies.Primarily deploying Python-based tools, scripts, and codes within a Linux cloud environment.Employing statistical techniques to analyze results and generating comprehensive reports using SQL, Python, Athena, and ElasticSearch.To thrive in our collaborative environment, you should possess:5-8 years of data handling experience.A strong capability to interpret extensive datasets while managing multiple tasks.Proficient programming skills in Python, along with experience in Linux/Bash scripting and databases (SQL, etc.).Exceptional analytical and critical thinking skills to address business challenges through data and technology.An interest in and knowledge of cloud technologies (GCP, Azure, AWS), open-source technologies, and enterprise technologies.An aptitude for collecting, organizing, analyzing, and disseminating substantial amounts of information with meticulous attention to detail.Effective communication skills to convey insights clearly.

Position: Senior Data Analyst (Python + PySpark)About UsCapco, a subsidiary of Wipro, is a premier global technology and management consulting firm. We have been honored with the British Bank Award for Consultancy of the Year and recognized as one of the Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With a presence in over 32 cities worldwide, we serve more than 100 clients in the banking, financial services, and energy sectors. Our reputation is built on our expertise in delivering transformative solutions.WHY JOIN CAPCO?You will engage in dynamic projects with leading international and local banks, insurance companies, payment service providers, and other influential industry stakeholders. These projects are set to revolutionize the financial services landscape.MAKE AN IMPACTAt Capco, you will utilize innovative thinking, excellence in delivery, and thought leadership to drive business transformation for our clients. Collaborating with industry partners, we deliver groundbreaking work that reshapes the energy and financial services sectors.#BEYOURSELFATWORKWe foster a diverse, inclusive, and creative work environment at Capco.CAREER ADVANCEMENTCapco offers a flat organizational structure, presenting every employee with opportunities for growth and career development.DIVERSITY & INCLUSIONWe strongly believe that a diverse workforce enhances our competitive edge.Job Description:Role: Senior Data AnalystLocation: Bangalore/PuneResponsibilities:Define and acquire source data necessary for effective insights and use cases.Establish data mapping to integrate multiple datasets from diverse sources.Develop methods to visualize and communicate analytical findings.

At GroundTruth, we are at the forefront of transforming real-world consumer behavior into effective marketing strategies that drive tangible business outcomes, including increased in-store visits. Leveraging actual location and purchase data, our platform designs targeted advertising campaigns across various digital screens, while also measuring consumer engagement and providing invaluable insights for optimizing marketing efforts.Our commitment to media, metrics, and insights equips marketers with the necessary tools to execute impactful media campaigns that yield measurable results such as foot traffic and sales.Recognized as one of Ad Age’s Best Places to Work in 2021, 2022, 2023 & 2025, we believe that cutting-edge technology is driven by exceptional talent. Explore the perks of joining our team here.About the Analytics TeamThe Analytics team plays a crucial role in offering analytical support to diverse stakeholders including Product, Engineering, Business Development, and Ad Operations. We develop scalable analytical solutions, identify key challenges, establish KPIs, and monitor these metrics to evaluate the impact and success of product enhancements while streamlining processes.This position presents a thrilling opportunity to engage with extensive data sets, utilize state-of-the-art analytical techniques, and work with advanced AWS analytics infrastructure (such as Redshift, S3, and Athena) while gaining insights into how location data can augment business initiatives. The fast-paced startup environment will also provide significant opportunities for professional growth.The ideal candidate will possess a passion for technology and a keen understanding of human behavior in real-world scenarios. Exceptional communication skills, the ability to distill and present complex information, and a quick learning aptitude are essential for success in this role.Location: Remote, India

Discover OktaAs the leader in identity management, Okta empowers individuals to securely access any technology, anywhere, on any device or application. Our versatile products, including the Okta and Auth0 Platforms, prioritize secure access, authentication, and automation, making identity integral to both business security and growth.At Okta, we value diverse perspectives and experiences. We seek lifelong learners who can enrich our culture with their unique backgrounds.Become a part of our mission! We are crafting a world where identity is in your hands.Senior Analyst, Field AnalyticsJoining Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team is pivotal in driving insights and scalability within our global field organization. We are the engine behind analytics and strategic analysis, enabling our leaders to make informed, data-driven decisions that chart Okta's growth trajectory.In this role, you will develop impactful technical resources, from executive Tableau dashboards to standardized Snowflake datasets, while pioneering AI-driven analytics methodologies. Collaborating with US-based leadership and local teams, you will ensure our reporting framework is scalable, precise, and closely aligned with Okta’s global GTM strategy.

MongoDB is on the lookout for a Senior Data Analyst to enhance our data-driven, people-centric decision-making processes. Collaborating closely with our People team, you will convert HR and organizational data into valuable insights, facilitating our efforts to attract top talent, optimize workforce management, and enhance overall workforce effectiveness, ultimately leading to superior outcomes for both our employees and the organization. This role demands a candidate with exceptional analytical and technical capabilities, adept at narrating compelling stories through data, and comfortable navigating multiple functional areas in a dynamic, fast-paced environment. We invite candidates based in Gurugram to apply, as this position will adopt a hybrid working model.

Why Choose Us?Are you ready to embrace a new challenge where your aspirations, both professional and personal, are not only achievable but actively encouraged? Look no further than Kaufman Rossin!Our offices at the prestigious World Trade Center (WTC) in Bengaluru, Karnataka, and Udyog Vihar in Gurgaon, Haryana, offer a diverse range of services, including risk management, corporate governance, tax, assurance, and family office services. Additionally, our Gurgaon location specializes in providing back-office alternative investment services for global hedge funds and similar fund types. As one of the leading accounting firms in the United States, our ethos is centered on a 'people first' philosophy. In the words of our co-founder, James Kaufman, 'We prioritize our people, their development, and their well-being, translating our values into action every day.'Kaufman Rossin, headquartered in Miami, Florida, has been recognized repeatedly as the Best Place to Work in South Florida. With a team of over 700 employees across the tri-county area and sister entities such as Kaufman Rossin Wealth and Kaufman Rossin Alternative Investment Services, our firm continues to grow.Ranked 49th among the top 100 firms in the US by Inside Public Accounting 2023, we also extend our reach internationally with offices in India and the Ivory Coast.Do You Have What It Takes?We are looking for a Senior Data Analyst to spearhead our predictive analytics initiatives within our CPA and advisory firm. This pivotal role will emphasize harnessing advanced analytics and machine learning to create significant business impacts through client analytics, revenue optimization, and strategic forecasting.As part of our dynamic Business Intelligence team, you will collaborate closely with business leaders to develop and implement impactful data science solutions. This high-impact position is perfect for an individual contributor eager to thrive in a growing analytics function.Your Contributions Will Include:Predictive Modeling & Machine LearningDesign, validate, and deploy cross-sell prediction models leveraging client engagement data, service utilization patterns, and industry benchmarks.Create time-series forecasting models for expense projections, cash flow forecasting, and revenue predictions across service lines.Establish model monitoring, retraining pipelines, and performance tracking to ensure sustained accuracy.Utilize advanced machine learning techniques to enhance model performance and optimize business outcomes.LLM & Generative AI IntegrationInvestigate and implement Large Language Model (LLM) applications for client data analysis, proposal generation insights, and automated reporting.Assess opportunities for Retrieval-Augmented Generation (RAG) systems using firm knowledge.

Position Overview We invite a skilled professional to join our dynamic Analytics Team in Pune, India. The ideal candidate is a detail-oriented, analytical thinker with a robust academic foundation, entrepreneurial mindset, and a passion for data analytics. This role requires the ability to utilize analytics and visualization tools to convey insights that facilitate data-driven decision-making. The successful candidate should possess expertise in optimizing data flows and be familiar with integrating new data sources into our database and visualization platforms. Our Analytics Team partners with clients globally to identify their most valuable prospects and customers, delivering tailored messages through a comprehensive data stack and advanced tools for custom audience creation, extension via look-alike models, and syndication to activation platforms. These capabilities play a pivotal role in our current business and hold significant growth potential. The team’s primary goal is to drive revenue growth by attracting new clients while nurturing and expanding existing client relationships. We support this mission through high-quality project delivery and reporting, which includes campaign reporting, audience segmentation, look-alike modeling, audience activation, and closed-loop measurement of media outcomes such as reach, frequency, and sales impact. This position is based in Pune but will provide support to teams worldwide.

About Easyship:Easyship is a pioneering multi-carrier shipping software designed to simplify global eCommerce, making it accessible for businesses of all sizes. Since our inception in 2014, we have been dedicated to demystifying logistics by eliminating the complexities and hidden costs associated with international shipping. Trusted by over 100,000 brands worldwide, our platform serves as a unified 'mission control' for global commerce, providing access to over 550 courier services across more than 200 destinations.We are a globally recognized team, honored by Forbes 30 Under 30 and named one of TechInAsia’s Best Startups. With offices in London, New York, Hong Kong, and more, we are rapidly expanding. At Easyship, we embrace transparency and take pride in building the infrastructure that fuels modern commerce. If you are eager to tackle intricate challenges at scale, we invite you to join our dynamic team.About the Role:As a Senior Data Analyst, you will become an integral part of our agile data team, where you will excel at addressing ambiguous business challenges and clarifying complex issues. Your role will extend beyond mere reporting; you will enhance the organization’s analytical capabilities by interpreting intricate datasets, deriving insights, and transforming them into actionable recommendations for our business teams.In collaboration with key stakeholders, you will uncover the narratives behind the numbers, guiding data-driven decisions through effective storytelling. You will also explore AI-driven techniques and modern data tools to improve workflows, extract deeper insights, and propose innovative solutions previously thought impossible.Additional Information:This full-time role is based in our Bengaluru office (MG Road) and operates on UK collaboration hours (11:00 AM–8:00 PM IST) to ensure smooth cross-regional collaboration.Key Responsibilities:Dashboard/Reporting Strategy & Ownership:Design and implement new dashboards (e.g., KPI, operational metrics) utilizing BI tools.Diagnose and enhance existing dashboards to maintain accuracy and relevance.Refine dashboards to deliver not just data but also context and guidance.Analytics & Insights:Move beyond basic reporting to analyze performance trends, identify root causes, and present actionable recommendations.Data Accuracy & Quality Control:Regularly audit dashboards and data sources to ensure quality and accuracy.

jobgether seeks a Senior Data Analyst with a strong background in marketing analytics. This position is based in India and focuses on transforming data into actionable insights to guide marketing decisions. Role overview The Senior Data Analyst will work closely with marketing teams, analyzing campaign performance and identifying trends. The goal is to help shape strategies and support growth by making sense of complex data sets. What you will do Analyze marketing data to uncover patterns and opportunities Present findings that inform marketing strategies Collaborate with stakeholders to support data-driven decision making Requirements Proven experience in marketing analytics Strong analytical and problem-solving skills Ability to communicate insights clearly to non-technical teams

OpenGov is a pioneering force in AI-driven ERP solutions tailored for local and state governments across the United States. With over 2,000 municipalities, counties, state agencies, school districts, and special districts leveraging the OpenGov Public Service Platform, we empower these organizations to function more efficiently, adapt to evolving challenges, and enhance public trust. Our suite of award-winning products includes enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, as well as transparency and open data solutions. These innovations converge within the OpenGov ERP, enabling public sector entities to prioritize their missions and maximize ROI on every dollar spent. Discover more about OpenGov's commitment to fostering effective and accountable governance and our vision for high-performance government in every community at OpenGov.com.Job SummaryWe are on the lookout for a data-driven and business-savvy GTM Strategy & Analytics Lead Data Analyst to become a vital part of our GTM Strategy & Analytics team. This role is essential for converting intricate data into actionable insights that guide strategic decision-making and enhance business performance across diverse functions. The ideal candidate will exhibit a robust combination of technical data analysis and analytics engineering prowess, alongside a solid grasp of business operations, coupled with the ability to communicate complex findings to non-technical stakeholders in a compelling manner. Your collaboration will extend closely with operations leadership, product managers, marketing teams, and various cross-functional departments to pinpoint opportunities, measure impacts, and shape our strategic trajectory.ResponsibilitiesCross-functional Collaboration: Immerse yourself with stakeholders across Product, Marketing, Sales, Finance, and Operations to comprehend their analytical requirements, translate business inquiries into data models, and deliver data-driven insights and resources that facilitate informed decision-making.Data Expertise: Spearhead the development of impactful data resources that correlate customer and internal activities with outcomes, establishing a scalable model for future analyses. Working alongside Data Engineering and AI Operations, you will design a robust semantic framework, creating datasets for use across traditional reporting tools and conversational AI interfaces, overseeing the complete lifecycle of data models within the data warehouse and business intelligence tools.Data Integrity & Governance: Collaborate with data engineering, systems, operations, and additional teams to ensure data quality, consistency, and accessibility for analytical purposes.

The Senior Data Analyst will leverage their extensive experience in data analysis, design, and implementation to drive insights in a fast-paced, multi-business setting.This role involves collaboration with various teams including Digital Product Insights, Analytics, Intelligence, Operations, and Support, ensuring data is securely collected, structured, and accessible for analytics and reporting.The ideal candidate will possess deep knowledge in Data Analysis, ETL processes, Data Warehousing, Data Architecture, Data Modeling, SQL, RDBMS, and Big Data engineering.Responsibilities include designing and implementing automated data pipelines from diverse source systems to target systems, while managing changing requirements and delivering actionable plans promptly and within budget.Experience in both dynamic startups and structured environments of larger corporations, along with familiarity in applying Agile methodologies throughout the Software Development Life Cycle (SDLC), is highly desirable.

About The Role:The Senior Data Analyst in Support Operations plays a pivotal role in Rubrik’s commitment to providing outstanding customer experiences through AI-driven insights. This position is responsible for analytics, reporting, forecasting insights, and operational transparency for the global Customer Success organization, utilizing AI tools and platforms such as Salesforce, SupportLogic, Amazon Connect, and Workforce Management (WFM) tools, including Assembled, NICE, or Verint.You will analyze performance trends in service delivery, identify operational gaps, product issue trends, and assess agent productivity to support leadership in making informed decisions. Your contributions will directly enhance service effectiveness, customer satisfaction, and overall operational efficiency.This role also reinforces Rubrik’s dedication to data protection and cybersecurity by ensuring the accuracy of reports, compliance with governance standards, and safeguarding operational data.What You'll Do:Reporting, Analytics & VisualizationDesign, develop, and maintain dashboards and reports that monitor key metrics such as case volume, SLA attainment, backlog, CSAT, adherence, and agent utilization.Create scalable data models in Tableau or similar BI tools that facilitate self-service data consumption.Collect, analyze, structure, and organize data from Salesforce, SupportLogic, Amazon Connect, WFM platforms, and survey tools.Leverage AI reporting tools to drive data-informed decision-making regarding deflection rates, self-service capabilities, and predictive resolutions.Implement automated reporting pipelines to minimize manual effort.Collaborate with the Data team to develop detailed requirements and address critical reporting and business needs.Identify actionable insights from data trends to recommend and drive strategic process improvements for service delivery leaders.Prepare and present insights for Monthly Business Reviews (MBRs), Quarterly Business Reviews (QBRs), and leadership discussions.Ensure all reporting aligns with data governance policies and security regulations.Operational Insights & Forecasting SupportIdentify trends related to usability and support deficiencies to drive enhancements in product and service delivery.Analyze service delivery performance and customer trends to pinpoint process gaps, resource needs, and optimization opportunities.Support WFM teams with forecasting, staffing analysis, and scheduling insights.

Couchbase builds operational data platforms for AI, helping businesses modernize how they manage and use data. Enterprises around the world rely on Couchbase for operational, analytical, mobile, and AI-powered workloads. The platform is designed to replace legacy infrastructure and fragmented data systems, offering performance, flexibility, and scalability on a global scale. With Couchbase, organizations can create new customer experiences, explore AI applications, and extend their solutions from the cloud to the edge. The technology and partnership approach simplify complexity, reduce ownership costs, and help teams stay agile and secure. More information is available at couchbase.com. Role overview The Lead Finance Data Analytics position is based in Bangalore and focuses on providing insights for the global Finance & Strategy team. This role translates complex data into clear narratives and works closely with colleagues to build data-driven models and analytics that support quick, informed decisions. Responsibilities include strategic analysis and designing and managing an Analyst-Ready Data Layer to support analytics across the function. A strong understanding of SaaS business models and data engineering is essential to ensure insights are actionable and built on a scalable, audit-ready foundation. Main responsibilities Revenue Cycle & Predictive Modeling: Analyze the opportunity-to-cash process, including ARR-to-revenue conversion and renewal patterns. Develop early warning indicators to identify risks and opportunities for growth. SaaS Unit Economics & Business Diagnostics: Apply advanced analytics to examine business drivers, linking hosting and service delivery costs to gross margins. Model consumption-based metrics to detect upsell and churn risks early. Executive Storytelling: Collaborate with finance leadership to improve the quality and impact of reporting for internal teams and investment partners.

Description:Tiger Analytics Inc. is a premier advanced analytics consulting firm renowned for its proficiency in Data Science, Machine Learning, and Big Data analytics. We collaborate with Fortune 100 companies to facilitate transformative business outcomes through innovative and strategic analytics solutions.We are currently in search of a Senior Associate to join our Human Resources team in India. In this pivotal role, you will play a crucial part in supporting HR operations for our global workforce spanning the US, Canada, and the UK. Your efforts will enhance employee experiences and cultivate a culture of engagement and continuous growth.Key Responsibilities:Develop and manage HR dashboards and MIS reporting across diverse HR functions.Maintain HR master data and HRIS systems, generating insightful reports as required.Administer payroll processes, ensuring compliance with regulations across the US and Canada.Oversee expense reimbursement and offboarding processes efficiently.Ensure adherence to HR compliance and support HR operations including payroll and benefits.Drive initiatives for employee engagement and foster transparent communication.Collaborate with the HR team to refine policies, programs, and practices.Engage in process automation and contribute to HR Excellence and automation projects.Undertake additional HR-related responsibilities as assigned.Requirements:Minimum of 4 years of experience in Human Resources with a robust focus on HR Analytics.Master’s degree in HR, Business Administration, or a related field, or equivalent professional experience.Proficient in data analysis utilizing Excel and Google tools.Demonstrated ability to create dashboards using Google Sheets and Power BI - essential.Familiarity with HR tools and platforms such as Zoho, Dayforce, and TriNet.Willingness to align work hours with US time zones.Experience in a remote work environment within global teams.Exceptional presentation and communication skills.Strong organizational and multitasking capabilities.Project management skills.Personal attributes include being proactive, self-motivated, detail-oriented, and maintaining a positive attitude.Desirable:Experience in a global consulting environment.Comfortable collaborating with colleagues across multiple time zones (US, Canada, UK, Spain, Mexico).Note:This position is based in India.Expectations for shift work to accommodate global interactions.Benefits:This role presents an extraordinary opportunity for substantial career advancement in a fast-paced and dynamic entrepreneurial setting, offering a high level of individual responsibility.

We are seeking a talented and experienced Senior Data Analyst to join our dynamic team at weekday-1. In this role, you will be responsible for leveraging data to drive business decisions and improve operational efficiencies. You will analyze large datasets, create insightful reports, and collaborate with cross-functional teams to support strategic initiatives.