21 Domo Jobs

Lead Data Analyst About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. As a part of the Merchandising Analytics and Insights team, our analysts work closely with business owners as well as technology and data product teams staffed with product owners and engineers. They support all Merchandising strategic initiatives with data, reporting and analysis. Merchandising teams rely on this team of analysts to bring data to support decision making. PRINCIPAL DUTIES AND RESPONSIBILITIES As a Lead Data Analyst your responsibilities will be exploring data, technologies, and the application of mathematical techniques to derive business insights. Data analysts spend their time determining the best approach to gather, model, manipulate, analyze and present data. You will lead an agile team which requires active participation in ceremonies and team meetings. In this role, you ll have opportunities to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education. This role specifically will support a new initiatives requiring new data and metric development. Your curiosity and ability to roll up guest level insights will be critical. The team will leveraging in store analytic data to measure the impact of promotions, product placement, or physical changes at any given store has on store operations, guest experience and purchase decisions. This new capability are still being defined, which allows for creative thinking and leadership opportunities. Job duties may change at any time due to business needs. Key Responsibilities *: Work with MC, Merch, Planning, Marketing, Digital, etc. teams to use data to identify opportunities, bridge gaps, and build advanced capabilities Partner with Product, DS, DE, etc. to determine the best approach to gather, model, manipulate, analyze and present data Develop data and metrics to support key business strategies, initiatives, and decisions Explore data, technologies, and the application of mathematical techniques to derive business insights Desired Skills & Experiences *: Ability to breakdown complex problems, identify root cause of the issue, and develop sustainable solutions Ability to influence cross-functional teams and partners at multiple levels of the organization Possess analytical skills (SQL, Python, R, etc.) to find, manipulate, and present data in meaningful ways to clients Desire to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education About you (In terms of technical) B.E/B.Tech, M.Tech, M.Sc. , MCA - Overall 8-12 years of experience. And 6-8 years data ecosystem experience. Strong Architect of data capabilities and analytical tools. Proven experience to architect enterprise level Datawarehouse solutions and BI Implementations across Domo, Tableau & other Visualization tools. Provide expertise and ability to train and guide team to implement top design architectures to build next generation analytics Deep Big data experience. Should have solid experience in Hadoop ecosystem and its components around writing programs using Map-Reduce, experience in developing Hive and PySpark SQL and designing and developing Oozie workflows. Hands on experience in object oriented or functional programming such as Scala &/or Python/R or other open-source languages Strong foundational mathematics and statistics Experience in analytical techniques like Linear & Non-Linear Regression, Logistic Regression, Time-series models, Classification Techniques etc (In terms of soft skills for lead role) Strong stakeholder management with product teams and business leaders. Has strong problem solving, analytical skills and ability to manage ambiguity. Ability to communicate results of complex analytic findings to both technical /non-technical audiences and business leaders. Ability to lead change, work through conflict and setbacks . Experience working in an agile environment (stories, backlog refinement, sprints, etc.). Excellent attention to detail and timelines. Strong sense of ownership. Desire to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: Target is one of the most loved consumer retail brands in the world. At Target, we are constantly improving and innovating our digital shopping experience. Target Plus is one such strategic business initiative offering meaningful guest experiences by bringing high demand brands, on-trend selection to Target.com . We are a one-of-a-kind marketplace, carefully curated and built keeping in mind guests' current and changing needs, along with tapping into futuristic market trends. The Category Site Merchandising team focuses on increasing digital topline sales by optimizing conversion and the overall site experience. The team plays a crucial role in ensuring findability and discoverability of products, making it easy for guests to locate and discover items. By partnering with various teams within and outside of the Digital organization, the team drives the right experience for each category. Additionally, the team is responsible for delivering financial outcomes and plans for the digital business, ensuring that financial goals are met and sustained. As a Sr Site Merchandiser, you will drive business growth through effective category management and site merchandising strategies. Your focus will be on optimizing the site experience for your category to maximize guest engagement and sales. You will collaborate closely with cross-functional teams, including merchandising, marketing, digital teams and analytics, to ensure seamless execution of category strategies and alignment with business goals. Your role is crucial in translating business objectives into actionable site merchandising tactics that enhance the digital shopping experience. Core Responsibilities: Site Experience Management: Develop site merchandising strategies focusing on conversion, findability, maximizing guest engagement, and frictionless shopping. Tactics include traffic optimization, site taxonomy and attribution management, navigation, filters, sort, internal search optimization, item-level content, cross-sell/up-sell, and item data remediation and attribution. Know and advocate for the Guest: Provide actionable insights by analyzing consumer behavior, site metrics, and demographic trends to enhance user experience. Analytics & Insights: Monitor key performance indicators (KPIs) across devices and platforms, guest behavior, and market trends. Use these insights to refine strategies, influence cross-functional teams, and inform business decisions. Provide routine reporting on performance metrics, offering deep insights for continued optimization. Cross-Functional Partnership: Collaborate effectively with stakeholders, communicate insights clearly, and contribute as an SME to align team efforts with business goals. Innovation & Continuous Improvement: Continuously identify opportunities for innovation in merchandising, technology, and processes. Proactively drive progress, improvement, and advancement to enhance guest experiences Results & Financial Accountability: Maintain a strong sense of accountability for delivering financial results, ensuring strategies drive topline sales, profitability, and guest engagement. Education/Experience: 4-year US college degree or equivalent experience 4+ years relevant e-commerce experience; including site merchandising, item data, product, UX, or operations General Skills: Curiosity and Passion for Customer Experience: Demonstrates a high level of curiosity and a strong passion for understanding and enhancing customer experience. Continuously seeks to learn about customer behaviors, preferences, and trends to drive innovative solutions that delight guests. Initiative and Self-Starter: Proactively identifies opportunities for improvement and takes the initiative to implement solutions. Exhibits a self-starter attitude, consistently driving projects forward with minimal supervision and demonstrating a strong sense of ownership and accountability. Team Collaboration: Ability to work effectively within a team, fostering a collaborative and productive work environment. Strategic Thinking: Ability to contribute to the development and implementation of strategic plans that align with business goals and drive category growth. Influence and Negotiation: Skills in influencing partner roadmaps and advocating for the category across teams, ensuring alignment and support for strategic initiatives. Analytical Skills: Proficiency in gathering, analyzing, and interpreting data to make informed decisions and provide actionable insights. Effective Communication: Strong written and verbal communication skills to summarize findings, share updates, and present insights clearly to stakeholders. Adaptability: Flexibility to adapt to changing business needs and priorities, and to work effectively in a fast-paced, dynamic environment. Specialized Skills: Data & Technical Skills: Proficiency with data tools like DOMO, Adobe Analytics, google analytics. Experience in using ecommerce site optimization tools. Financial Acumen: Proficiency in tracking revenue and other key metrics to connect site performance to financial outcomes. Ability to analyze financial data to support category performance and make data-driven decisions that align with business goals. Site Optimization: Experience in optimizing site merchandising strategies to enhance guest engagement and sales.

Sr Data Analyst About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. As a Sr Data Analyst for Target s Merch Data Analytics team you ll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years exp Qualification B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts. 2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets. 4. Hands on experience in R, Python, Hive or other open-source languages/database 5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above 6. Git source code management & experience working in an agile environment. 7. Strong attention to detail, excellent diagnostic, and problem-solving skills 8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines 9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn. 10. Excellent communication, service orientation and strong relationship building skills 11. Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: Target is one of the most loved consumer retail brands in the world. At Target, we are constantly improving and innovating our digital shopping experience. Target Plus is one such strategic business initiative offering meaningful guest experiences by bringing high demand brands, on-trend selection to Target.com . We are a one-of-a-kind marketplace, carefully curated and built keeping in mind guests' current and changing needs, along with tapping into futuristic market trends. The Category Refresh team is focused on conducting in-depth category analyses to uncover growth opportunities and enhance the digital shopping experience. This team leverages data-driven insights to provide strategic recommendations, ensuring that category updates are aligned with business objectives and guest expectations. This team utilizes advanced data analytics and market research to create personalized and immersive shopping experiences. The Category Refresh team is committed to driving sustainable growth for Target and ensuring that guests have a convenient, intuitive, and satisfying digital shopping journey. As a Site Merchandiser, your primary function will be to help optimize end-to-end category-specific e-commerce experiences through core digital merchandising tactics, monitoring key performance metrics, support strategic initiatives aimed at enhancing the digital shopping experience and driving category performance through timely category refreshes using data-driven insights. You will work closely with the category team and help in identifying opportunities to optimize product assortment presentation and site experience to maximize guest engagement and sales. Core Responsibilities: Category Refresh Execution: Support comprehensive eCommerce category refreshes by executing assortment & site optimization strategy Consumer Insights: Ability to understand consumer funnel analysis, apply guest demographics data, and analyze behavioral trends to improve site experience. Use customer journey mapping to identify optimization opportunities and recommend A/B testing strategies to validate improvements. Know The Guest: Provide actionable insights by analyzing consumer behavior, site metrics, and demographic trends to enhance user experience. Site Experience Management: Identify opportunities to optimize site merchandising strategies focusing on conversion, findability, maximizing guest engagement, and frictionless shopping. Operational Excellence Streamline & document processes, manage project timelines, and resolve operational challenges to improve task execution and efficiency Analytics: Dig into Key Performance Indicators (KPIs) across all devices and platforms, guest behavior, market trends, and competitive insights to uncover opportunities and drive action across key pain areas in the digital guest journey Cross-Functional Partnership: Collaborate effectively with stakeholders, communicate insights clearly to ensure timely execution of action items as aligned during CFT meetings (Key stakeholdersCategory Site Merchants, Digital Product Content, Item, taxonomy, Digital Product) Education/Experience: Bachelor's degree mandatory (MBA preferred) 3+ years of e-commerce or Customer insights experience (Site Merchandising, Digital Marketing, UX, etc.) General Skills: Analytical Skills: Strong analytical skills to gather, analyze, and interpret data from multiple tools and systems. Effective Communication: Strong written and verbal communication skills to summarize findings & share timely updates with stakeholders. Problem-Solving: Capability to identify opportunities for improvement based on data analysis and flag the same to relevant stakeholders. Collaboration: Establish strong relationships across both functional and category peer groups. Develop understanding of digital AOEs to help influence site merch strategy across the funnel. Attention to Detail: Keen eye for detail to ensure accuracy in data analysis and reporting, with a focus on identifying actionable insights. Accountability: Have a high level of accountability & initiative towards both day-to-day outcomes as well as business goals. Specialized Skills: Data & Technical Skills: Proficiency with tools like DOMO, Adobe Analytics, and basic SQL queries (not mandatory). Site Optimization: Monitor key site metrics (e.g., traffic, bounce rates), troubleshoot performance issues, and recommend strategies to optimize search, browse, SEO, product recommendation etc. Research and Market Analysis: Support analysis of category and product performance using site analytics tools. Ability to understand market research reports, conduct competitor analysis to draw consumer behavior insights to inform category strategies.

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. As a Data Analyst for Target s Merch Data Analytics team you ll: A role with Data Analytics (DA) means being a part of the team that work in support of business teams, leveraging business area knowledge, business intelligence capabilities and analytical methods to deliver key insights and technology solutions that drive company business strategies. This cover developing innovative business insights through robust statistical and analytical methods. The emphasis will be on ability to synthesize and communicate actionable insights and analysis recommendations to enable fact-based business decision-making, which is possible through a combination of technical skills and business understanding. / About You: ExperienceOverall 2-6 years exp and relevant 1-3 years exp Qualification: TI B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1.Hands on experience to Structured Query Language (SQL) syntax, including joins, volatile tables, and basic query tuning. And deep understanding of core DW/BI concepts. 2. Experience in at least 1 BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Working knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS) 4. Exposure to R, Python, Hive or other open-source languages/database 5. Understanding of analytical techniques (like Regression, Time-series models, Classification Techniques, etc.) to discover and measure key business drivers 6. Git source code management & experience working in an agile environment 7. Problem solving skills 8. Self-motivated and able to work in team settings in a fast-paced environment 9. Competent and curious to ask questions and learn to fill gaps 10. Good communication 11. Experience with Retail, Merchandising, Marketing will be strong addons About you: Four-year degree or equivalent experience Excellent verbal and written communication skills Demonstrated guest service, interpersonal, and follow-up skills Ability to manage multiple tasks with effective organizational skills Proven problem solving, critical thinking, and decision-making skills Flexible, team player who learns quickly while adapting to evolving technology and processes Ability to learn and navigate numerous, unique systems; proficiency with MS Office Package Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win Behind one of the world s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We re also the source of the data and analytics behind Target s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About this career Role is about being passionate about data, analysis, metrics development, feature experimentation and its application to improve both business strategies, as well as support to GSCL operations team Develop, model and apply analytical best practices while upskilling and coaching others on new and emerging technologies to raise the bar for performance in analysis by sharing with others (clients, peers, etc.) well documented analytical solutions . Drive a continuous improvement mindset by seeking out new ways to solve problems through formal trainings, peer interactions and industry publications to continually improve technically, implement best practices and analytical acumen Be expert in specific business domain, self-directed and drive execution towards outcomes, understand business inter-dependencies, conduct detailed problem solving, remediate obstacles, use independent judgement and decision making to deliver as per product scope, provide inputs to establish product/ project timelines Participate in learning forums, or be a buddy to help increase awareness and adoption of current technical topics relevant for analytics competency e.g. Tools (R, Python); exploratory & descriptive techniques ( basic statistics and modelling) Champion participation in internal meetups, hackathons; presents in internal conferences, relevant to analytics competency Contribute the evaluation and design of relevant technical guides and tools to hire great talent by partnering with talent acquisition Participate in Agile ceremonies to keep the team up-to-date on task progress, as needed Develop and analyse data reports/Dashboards/pipelines, do RCA and troubleshooting of issues that arise using exploratory and systemic techniques About you B.E/B.Tech (2-3 years of relevant exp), M.Tech, M.Sc. , MCA (+2 years of relevant exp) Candidates with strong domain knowledge and relevant experience in Supply Chain / Retails analytics would be highly preferred Strong data understanding inference of patterns, root cause, statistical analysis, understanding forecasting/predictive modelling, , etc. Advanced SQL experience writing complex queries Hands on experience with analytics toolsHadoop, Hive, Spark, Python, R, Domo and/or equivalent technologies Experience working with Product teams and business leaders to develop product roadmaps and feature development Able to support conclusions with analytical evidence using descriptive stats, inferential stats and data visualizations Strong analytical, problem solving, and conceptual skills. Demonstrated ability to work with ambiguous problem definitions, recognize dependencies and deliver impact solutions through logical problem solving and technical ideations Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Intellectually curious, high energy and a strong work ethic Comfort with ambiguity and open-ended problems in support of supply chain operations Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

The Operations Engineer will work in collaboration with and under the direction of the Manager of Data Engineering, Advanced Analytics to provide operational services, governance, and incident management solutions for the Analytics team. This includes modifying existing data ingestion workflows, releases to QA and Prod, working closely with cross functional teams and providing production support for daily issues. Essential Job Functions: * Takes ownership of customer issues reported and see problems through to resolution * Researches, diagnoses, troubleshoots and identifies solutions to resolve customer issues * Follows standard procedures for proper escalation of unresolved issues to the appropriate internal teams * Provides prompt and accurate feedback to customers * Ensures proper recording and closure of all issues * Prepares accurate and timely reports * Documents knowledge in the form of knowledge base tech notes and articles Other Responsibilities: * Be part of on-call rotation * Support QA and production releases, off-hours if needed * Work with developers to troubleshoot issues * Attend daily standups * Create and maintain support documentation (Jira/Confluence) Minimum Qualifications and Job Requirements: * Proven working experience in enterprise technical support * Basic knowledge of systems, utilities, and scripting * Strong problem-solving skills * Excellent client-facing skills * Excellent written and verbal communication skills * Experience with Microsoft Azure including Azure Data Factory (ADF), Databricks, ADLS (Gen2) * Experience with system administration and SFTP * Experience leveraging analytics team tools such as Alteryx or other ETL tools * Experience with data visualization software (e.g. Domo, Datorama) * Experience with SQL programming * Experience automating routine data tasks using various software tools (e.g., Jenkins, Nexus, SonarQube, Rundeck, Task Scheduler)

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities These are some of the basic responsibilities and more detailed one will be shared with the Talent Executive during the hiring process Data modeling, big data development, Extract, Transform and Load (ETL) development, storage engineering, data warehousing, data provisioning Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems Partner with stakeholders to understand requirements and develop business intelligence tools or database tools to fetch data, provide insights and present recommendations Create specifications and transformation jobs to bring data into a proper structure and conduct analysis to validate the accuracy and quality of the data Create segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization Collaborate with stakeholders on ad hoc and standard reporting requests Identify appropriate data sources, metrics, and tools for providing required information according to clients' requests Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Graduate or Post Graduate preferable with major in Computer Science Experience on any Cloud Platform tool like Azure Experience on any visualization tools like Tableau, DOMO, QlikView Experience in a similar role/domain - HR Analytics and/or any of the HR vertical and/or Experience in a BI/Data Analytics team with exposure to HR data, PeopleSoft tables Hands-on knowledge on Data Transformations/Data Quality Knowledge on Database architecture, engineering, design, optimization, security and administration Knowledge on various HR Analytics datasets and metrics including but not restricted to Demographics, Hires & Turnover, DEI, Survey etc. Well versed with Data Engineering Insights and Data Analysis At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Role & responsibilities Leverage analytical skills and independent judgement to interpret moderately complex goals, trends, risks, and areas for improvement by collecting, analyzing, and reporting on key metrics and conclusions. May maintain integrity of reports and/or dashboards to allow business to operate accurately and efficiently • Use expanded analytic solutions and knowledge to support customer teams and improve efficiencies. Work on projects/matters of moderate complexity in an independent contributor role. Complexity can vary based on several factors such as client size, number of systems, varying levels of established structures, or dynamics of customer and/or data • Work cross-functionally and build internal and/or external relationships to ensure high quality data is available for analysis and better business understanding • Develop and deliver data-driven insights and recommendations to internal and/or external stakeholders • Engage day-to-day with stakeholders for planning, forecasting, and gaining a solid understanding of business questions for appropriate documentation and analysis • Work well independently and seek counsel and guidance on more complex projects/matters, as needed. Work is generally reliable on routine tasks and assignment Preferred candidate profile Required Qualifications • Proficient knowledge of expanded analysis solutions/tools (such as OLTP/OLAP data structures, advanced Excel, Tableau, Salesforce, Power BI, Business Objects) • Proficient knowledge of domain languages (such as SQL Query, HIVE QL, etc.) • Application of moderately complex statistical methods (such as deviations, quartiles, etc.) • 2 5 years of related experience to reflect skills and talent necessary for this role preferred • May require practical sales motion knowledge • May require practical industry and demographic understanding in one of the following: hardware, software, SaaS, healthcare, or industrial • May require strong proficiency in all Microsoft Office applications (especially Word, Excel, and PowerPoint) Preferred Qualification . Bachelors degree/diploma, or the equivalent, preferred. Degree/diploma in computer science, finance, or statistics/mathematics a plus • 4+ years of experience in data driven business insight recommendations, business analytics, dashboard design experienc

We are seeking a highly skilled Data Analyst with expertise in the Domo tool to join our dynamic team. In this role, you will work closely with stakeholders to understand business needs, analyze data, and provide actionable insights through data-driven reports and visualizations. You will leverage Domo for data integration, dashboard creation, and reporting. - Domo Experience: Proven experience working with Domo for creating data visualizations, dashboards, and managing data integrations. (Mandatory) -Addition Tableau Experience for building and maintaining dashboards, reports, and visualizations.

Job Description Data Analyst Bangalore, India The Opportunity: Anthology delivers education and technology solutions so that students can reach their full potential and learning institutions thrive. Our mission is to empower educators and institutions with meaningful innovation thats simple and intelligent, inspiring student success and institutional growth. The Power of Together is built on having a diverse and inclusive workforce. We are committed to making diversity, inclusion, and belonging a foundational part of our hiring practices and who we are as a company. For more information about Anthology and our career opportunities, please visit . As Data Analyst, you will play an integral role as part of the Global Customer Support department. This team drives Anthologys core strategy of operational efficiency by innovating, streamlining, and implementing world-class tools and business processes across the organization. This role reports to the Director of Customer Support in the Global Customer Support organization. Primary responsibilities will include: Administering a PostgreSQL database Managing and creating data sets available through BI tool (Chartio, Power BI or others) Helping automate and refresh reports and dashboards in a BI Tool through queries Helping team improve data quality and data availability by analyzing existing data and data sets Providing systems best practices recommendations to enhance efficiency and overall data quality of our systems The Candidate: Required skills/qualifications: BA/BS Degree or equivalent experience Fluency in written and spoken English 2-5 years of professional experience in SQL querying and proven ability to work with large and complex data sets 2-5 years of professional experience working with a BI tool (Power BI, Tableau, Chartio, Domo, Salesforce Einstein, etc.) Interest in sales data analytics and data quality Strong analytical and problem-solving skills including the ability to gather and analyze large amounts of data, draw conclusions, and develop actionable recommendations Strong business acumen Ability to effectively partner with fellow colleagues of all levels Preferred skills/qualifications: Experience working with Salesforce.com data Previous experience in the education or information technology industry

Reports to: Director, Marketing Operations Leader Position Overview: Gainwell is seeking a Marketing Operations Manager to oversee the execution and optimization of digital marketing operations. This role will manage marketing automation, campaign execution, lead data integrity, and performance tracking, ensuring smooth operations and reporting for marketing initiatives targeting the US public health and Medicaid sector. The ideal candidate will have strong technical expertise in marketing automation (Marketo, HubSpot, Eloqua), CRM systems (Salesforce), data-driven marketing operations, and campaign execution. This role will serve as the operational backbone of the marketing team, ensuring campaign efficiency, accurate reporting, and seamless execution across digital channels. Key Responsibilities: Marketing Automation & Campaign Execution Manage and execute campaigns using marketing automation platforms (Marketo, HubSpot, Eloqua). Set up, test, and troubleshoot email marketing campaigns, nurture workflows, and landing pages to drive engagement and conversions. Ensure seamless lead management, scoring, and routing in collaboration with sales and field marketing teams. Optimize campaign workflows and automation sequences to improve efficiency and performance. Data Integrity, Reporting & Performance Tracking Ensure data integrity in marketing automation and CRM platforms, maintaining clean and accurate lead records. Build and maintain marketing performance dashboards using tools such as Salesforce, Power BI, or Google Analytics. Track and analyze campaign performance, providing insights and recommendations to improve ROI and lead conversion. Support multi-channel attribution modeling to optimize budget allocation across digital marketing channels. Process Optimization & Cross-Functional Collaboration Identify and implement process improvements in marketing operations, enhancing efficiency and automation. Work closely with Field Marketing, Product Marketing, and Content teams to ensure campaign goals align with business objectives. Support marketing tool integrations and troubleshoot technical issues related to CRM, analytics, and automation platforms. Assist with ABM campaign execution, ensuring highly targeted outreach to key state accounts. Qualifications & Experience 5-8 years of experience in marketing operations, digital marketing, or marketing automation management. Hands-on experience with marketing automation platforms (Marketo, HubSpot, Eloqua) and CRM systems (Salesforce,). Strong knowledge of Account-based Marketing data management, segmentation, lead scoring, and workflow automation. Experience in tracking, reporting, and analyzing marketing performance metrics using Google Analytics, Tableau, Domo, Power BI, or similar tools. Ability to work cross-functionally with sales, marketing, and IT teams to optimize processes and improve campaign effectiveness. Strong problem-solving skills with an analytical mindset and attention to detail. Knowledge of public sector or healthcare marketing is a plus but not required.

About us: As a Site Merchandiser, your primary function will be to help optimize end-to-end category-specific e-commerce experiences through core digital merchandising tactics, monitoring key performance metrics, support strategic initiatives aimed at enhancing the digital shopping experience and driving category performance through timely category refreshes using data-driven insights. You will work closely with the category team and help in identifying opportunities to optimize product assortment presentation and site experience to maximize guest engagement and sales. Core Responsibilities: Category Refresh Execution: Support comprehensive eCommerce category refreshes by executing assortment & site optimization strategy Consumer Insights: Ability to understand consumer funnel analysis, apply guest demographics data, and analyze behavioral trends to improve site experience. Use customer journey mapping to identify optimization opportunities and recommend A/B testing strategies to validate improvements. Know The Guest: Provide actionable insights by analyzing consumer behavior, site metrics, and demographic trends to enhance user experience. Site Experience Management: Identify opportunities to optimize site merchandising strategies focusing on conversion, findability, maximizing guest engagement, and frictionless shopping. Operational Excellence: Streamline & document processes, manage project timelines, and resolve operational challenges to improve task execution and efficiency Analytics: Dig into Key Performance Indicators (KPIs) across all devices and platforms, guest behavior, market trends, and competitive insights to uncover opportunities and drive action across key pain areas in the digital guest journey Cross-Functional Partnership: Collaborate effectively with stakeholders, communicate insights clearly to ensure timely execution of action items as aligned during CFT meetings (Key stakeholders: Category Site Merchants, Digital Product Content, Item, taxonomy, Digital Product) Education/Experience: Bachelor's degree mandatory (MBA preferred) 3+ years of e-commerce or Customer insights experience (Site Merchandising, Digital Marketing, UX, etc.) General Skills: Analytical Skills: Strong analytical skills to gather, analyze, and interpret data from multiple tools and systems. Effective Communication: Strong written and verbal communication skills to summarize findings & share timely updates with stakeholders. Problem-Solving: Capability to identify opportunities for improvement based on data analysis and flag the same to relevant stakeholders. Collaboration: Establish strong relationships across both functional and category peer groups. Develop understanding of digital AOEs to help influence site merch strategy across the funnel. Attention to Detail: Keen eye for detail to ensure accuracy in data analysis and reporting, with a focus on identifying actionable insights. Accountability: Have a high level of accountability & initiative towards both day-to-day outcomes as well as business goals. Specialized Skills: Data & Technical Skills: Proficiency with tools like DOMO, Adobe Analytics, and basic SQL queries (not mandatory). Site Optimization: Monitor key site metrics (e.g., traffic, bounce rates), troubleshoot performance issues, and recommend strategies to optimize search, browse, SEO, product recommendation etc. Research and Market Analysis: Support analysis of category and product performance using site analytics tools. Ability to understand market research reports, conduct competitor analysis to draw consumer behavior insights to inform category strategies.

The Category Site Merchandising team focuses on increasing digital topline sales by optimizing conversion and the overall site experience. The team plays a crucial role in ensuring findability and discoverability of products, making it easy for guests to locate and discover items. By partnering with various teams within and outside of the Digital organization, the team drives the right experience for each category. Additionally, the team is responsible for delivering financial outcomes and plans for the digital business, ensuring that financial goals are met and sustained. As a Sr Site Merchandiser, you will drive business growth through effective category management and site merchandising strategies. Your focus will be on optimizing the site experience for your category to maximize guest engagement and sales. You will collaborate closely with cross-functional teams, including merchandising, marketing, digital teams and analytics, to ensure seamless execution of category strategies and alignment with business goals. Your role is crucial in translating business objectives into actionable site merchandising tactics that enhance the digital shopping experience. Core Responsibilities: Site Experience Management: Develop site merchandising strategies focusing on conversion, findability, maximizing guest engagement, and frictionless shopping. Tactics include traffic optimization, site taxonomy and attribution management, navigation, filters, sort, internal search optimization, item-level content, cross-sell/up-sell, and item data remediation and attribution. Know and advocate for the Guest: Provide actionable insights by analyzing consumer behavior, site metrics, and demographic trends to enhance user experience. Analytics & Insights: Monitor key performance indicators (KPIs) across devices and platforms, guest behavior, and market trends. Use these insights to refine strategies, influence cross-functional teams, and inform business decisions. Provide routine reporting on performance metrics, offering deep insights for continued optimization.? Cross-Functional Partnership: Collaborate effectively with stakeholders, communicate insights clearly, and contribute as an SME to align team efforts with business goals. Innovation & Continuous Improvement: Continuously identify opportunities for innovation in merchandising, technology, and processes. Proactively drive progress, improvement, and advancement to enhance guest experiences Results & Financial Accountability: Maintain a strong sense of accountability for delivering financial results, ensuring strategies drive topline sales, profitability, and guest engagement.? Education/Experience: 4-year US college degree or equivalent experience 4+ years relevant e-commerce experience; including site merchandising, item data, product, UX, or operations General Skills: Curiosity and Passion for Customer Experience: Demonstrates a high level of curiosity and a strong passion for understanding and enhancing customer experience. Continuously seeks to learn about customer behaviors, preferences, and trends to drive innovative solutions that delight guests. Initiative and Self-Starter: Proactively identifies opportunities for improvement and takes the initiative to implement solutions. Exhibits a self-starter attitude, consistently driving projects forward with minimal supervision and demonstrating a strong sense of ownership and accountability. Team Collaboration: Ability to work effectively within a team, fostering a collaborative and productive work environment. Strategic Thinking: Ability to contribute to the development and implementation of strategic plans that align with business goals and drive category growth. Influence and Negotiation: Skills in influencing partner roadmaps and advocating for the category across teams, ensuring alignment and support for strategic initiatives. Analytical Skills: Proficiency in gathering, analyzing, and interpreting data to make informed decisions and provide actionable insights. Effective Communication: Strong written and verbal communication skills to summarize findings, share updates, and present insights clearly to stakeholders. Adaptability: Flexibility to adapt to changing business needs and priorities, and to work effectively in a fast-paced, dynamic environment. Specialized Skills: Data & Technical Skills: Proficiency with data tools like DOMO, Adobe Analytics, google analytics. Experience in using ecommerce site optimization tools. Financial Acumen: Proficiency in tracking revenue and other key metrics to connect site performance to financial outcomes. Ability to analyze financial data to support category performance and make data-driven decisions that align with business goals. Site Optimization: Experience in optimizing site merchandising strategies to enhance guest engagement and sales.

A role with Business team means being a part of the team that enables faster, smarter and more scalable decision-making to compete and win the modern retail market. Here, youll leverage data, statistics and visualization to create the actionable insights that deliver value across all Target functions. Our savvy reporting and analytics pros use market-leading tools and data automation to make a positive impact thats felt across the business. If youre an analyst who can work on autonomous teams, integrate the latest practices with your approach, write code to handle massive scale, simplify complex decisions by providing flexible, fast and sustainable decision-making solutions, then youll be successful here.As a Sr. Data Analyst you will support all business areas of Target with critical data analysis that helps team members make profitable decisions. Become a data expert or business analyst and utilize tools like decision trees, clustering, regression, time series, structural equation modeling, linear programming, SAS, SQL, VBA and OLAP. Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. Interface with the Target business representatives and leaders to validate business requirements/requests for reporting solutions. Determine best methods in order to gather data and present information. Build reporting solutions to meet business needs. Communicate with project/team manager to share knowledge and findings. Document design and requirements for reporting solutions. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business need. About You : 6-10years of overall Industry experience with 4-6years in data eco system Proven hands-on experience with Domo, Tableau & other Visualization tools (incl homegrown platforms) and a deep understanding of core DW/BI concepts Strong SQL or PL/SQL programming & Unix shell scripting skills Hands on experience in object oriented or functional programming such as Scala &/or Python or Java Should have solid experience in Hadoop ecosystem and its components around writing programs using Map-Reduce, should have experience in developing Hive and Pig Scripts, should have experience in designing and developing Oozie workflows Git source code management Experience working in an agile environment Exposure to R, Python, Hive or other open source languages Understanding of foundational mathematics and statistics Conceptual understanding of analytical techniques like Linear Regression, Logistic Regression, Time-series models, Classification Techniques, etc. Strong written and verbal communication skills to explain complex analytical methodologies to clients regardless of the clients technical expertise Any experience with Retail, Merchandising, Marketing will be strong addons B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent.

Team Overview As a Lead Data Analyst your responsibilities will be exploring data, technologies, and the application of mathematical techniques to derive business insights. Data analysts spend their time determining the best approach to gather, organize, analyze and present data. You will play a pivotal role in generating actionable insights and signals from our Guest Data Platform Products. Your primary responsibility will be to uncover patterns, connect the dots, and adopt a hypothesis-led agile approach to drive decision-making. You will support new initiatives by developing use cases, sizing opportunities, and estimating impacts, necessitating the creation of new data and metrics. Your curiosity and ability to synthesize guest-level insights will be crucial in shaping this evolving capability, which is still in the definition phase. This position offers ample opportunities for creative thinking and leadership. Position Overview Experience working on Retail domain specially on Customer data both PI & Sales data & Digital Platform or Social Media. Ability to work independently on exploratory analytics, taking notes for clarity & guidance needed, then seeking answers from key stakeholders. Ability to build standard, repeatable analytics objects (segments, metrics, views) and document their definitions. Experience in identifying simple, high-impact, actionable takeaways from large datasets. Possess analytical skills (SQL, Python, R, etc.) to find, manipulate, and present data in meaningful ways to clients.About You Four-year degree and equivalent experience 6+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience [add any specific analyst experience needed here] Advanced SQL experience writing complex queries Accomplished with Python or R Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models including statistical analysis Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

The People Analytics team Integrates into the business as strategic HR analytics partners and anticipates and uncovers stated or unstated needs. Uses our analytics expertise to test, measure, analyze, understand and answer various business questions Provide reporting to help inform on the current state of the business and help facilitate process at scale Connects our understanding across business and HR to deliver data driven products and solutions Provide meaningful insights and recommendations About the role: Our Data Analysts are expected to explore data, technologies, and the application of mathematical techniques to enable business insights. Data analysts accomplish this through a wide variety of skills including data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, and the presentation of recommendations and insight. Analysts will work within an agile environment, which requires active participation in ceremonies to accomplish the teams goals. They also develop domain knowledge as they learn about their business area and support applying key data management principles like metadata management, data profiling, and documenting their data lineage. Actively exploring data for specific use cases Expertise in business domain and processes Creating measurable insights from the data to be shared Developing metrics, measurement strategy, reports, and statistics Documenting calculations, code, and adhering to data management principles Validating and testing data assets of others in the form of peer review Exploring statistical analysis that could be applied to the data Performing descriptive statistics including mean, variance, median, correlation Applies insights and testing in partnership with business users Active participant in team meetings Lead agile ceremonies Ability to work independently to turn business problems into data solutions Serve as a thought leader and mentor on business domain and analytical techniques to elevate team performance About You: BA/BS or equivalent experience 7+ years' work experience in data analysis or masters level education in business analytics, data science, etc. Demonstrated leader in knowledge and application of data, reporting, and analytics Proficient with various programming languages- SQL, R, Python Proficient with relational and non-relational databases Stays current with new and evolving technologies via formal training and self-directed education to continue to raise individual and team performance Strong domain specific knowledge in Human Resources data and processes Prior experience in human resources or talent/people analytics industry Math and/or Statistics: Mathematical logic (AND, OR NOT) Descriptive and Inferential Statistics Calculus (weighted averages, rates of change, single variable) Testing and Research Design: Apply the scientific method and experimental design Generate insight from observational data Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models including statistical analysis Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

Business and Category expertise: Support partners under new business using your category expertise fueled by planning, strategizing and dataanalytics to deliver new business GMV & profit goals, grow market share and guest satisfaction for your category. New Partner Launch & Growth success : Partner status and assortment tracking for Partner in Onboarding and beyond. Identifying any challenges/delays, highlight them in right forums and address them with CFT support to set the partner up for success. Stakeholder Management: You will work closely locally and globally across our Digital team CFTs like Partner onboarding, Partner services, website experience, Enterprise item etc. to identify key levers and opportunity areas to make a partner journey successful on target plus. Partner Communication & Management : Weekly/Monthly/Quarterly recaps on Business and Inventory Health to partners. Propose potential solutions and actively engage in managing partner relationships. About you: Master's degree in business management or equivalent educational qualification 5+ years in Sales or Business/Category management using digital applications or ecommerce experience in merchandising operations or inventory management and developing strong business relationships with sellers/vendors. Strong analytical, forecasting, problem solving, decision-making and detail orientation Ability to manage large data sets and interpret data Ability to communicate clearly and effectively with strong strategy, planning, and organizational skills Ability to build and maximize relationships with partners, both internal and external Exceptional attention to detail, organizational and analytical skills. Ability to multi-task and work within a rapidly changing environment. Expert in Microsoft Excel, DOMO, Tableau, and other data tools

Primary Responsibilities: Manage BAU on UNICA Campaigns template creation - Creating new template and Unica flowchart on behalf of campaign execution team based on the new requirement Work along with both Unica ssmo team and campaign execution incase of Sailfish slowness or Unica slowness Adhoc data queries manipulation and resolution Analysing the missing responses for the campaigns which is showing in the missing steerage report using sql Data investigation and availabliltiy in Sailfish database for any new requirement submitted by the marketers using sql Support to B2B and B2C campaigns team B2b will work on the Eloqua to maintain the eloqua database for b2b campaign execution team Work on domo for list bump activity to prepare the existing eloqua contact list and new member list for the file shared by the marketers Analyzes and investigates Provides explanations and interpretations within area of expertise

Job Profile: Data Analyst Salary Grade: 26 Job Title: Data Analyst Job Family: Analytics Primary Role: Individual Contributor Job Description: You're empowered to do your best! You must be self-directed and creative as you will deal with some very interesting and complex issues. As a key resource to our stakeholders, you must maintain a high degree of confidentiality, accuracy along with attention to detail, excellent oral and written communication skills, strong interpersonal skills, and the ability to always meet deadlines. Primary Responsibilities: Partner with stakeholders to understand requirements and either develop reports or dashboards to provide data to the customers Knowledge on various People Analytics datasets and metrics including but not restricted to Demographics, Hires & Turnover, DEI, Survey etc. Collaborate with stakeholders on ad hoc and standard reporting requests received via ServiceNow. Working in an Agile framework using Swift Kanban. Identify appropriate data sources, metrics, and tools for providing required information according to clients' requests Knowledge on Data Governance and Approvals to ensure proper data sharing practices Identify ongoing process improvement opportunities and demonstrate improvement of defined processes in consultation with stakeholders Create specifications and transformation jobs to bring data into a proper structure and conduct analysis to validate the accuracy and quality of the data Create segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization Provides solutions to complex problems and own the solutions for successful implementations Drive collaboration and innovative solution approach across the teams Knowledge on Product lifecycle and its various phases Relationships: Relationships: People Business Team, Business Unit Clients, Employees, US partners/extended team Required Qualifications: Graduate or Post Graduate preferable with a major in Computer Science Experience on Oracle Cloud HCM Reporting, OTBI Reports Experience on any visualization tools preferably DOMO, or Power BI, Tableau, QlikView Well versed with Data Analysis and able to generate insights Hands on knowledge on Data Transformations/Data Quality Experience in a similar role/domain - People Analytics and/or any of the HR vertical and/or Experience in a BI/Data Analytics team with exposure to HR data, PeopleSoft tables Experience on any data modeling/ETL tool like Alteryx, DOMO, etc. Good knowledge of relational databases Ability to research issues, investigate the data accuracy, and perform quality checks Good proficiency in MS Excel, PowerPoint Ability to work independently and collaborate effectively with others Work Requirements: Shift to be coordinated with U.S.A. and India management NP 45 Days Salary 18 LPA Experience 4-7 Years Location NCR , Hyderabad Shift 11 AM-8 PM

Overview: Dominiclewis is mandated to hire for DOMO Admin role Responsibilities: Manage and maintain the internal Domo platform for Consilio, including creating and updating complex dashboards and reports, and integrating data from various data sources Help with the development and implementation of data strategy and governance with our Data Warehouse team Implement modifications to data sources to point to rapidly changing data warehouse architecture Train internal users on best practices for using the Domo platform and troubleshoot any issues that may arise Collaborate with cross-functional teams to understand their data needs and develop solutions to meet those needs Developing QA checks to ensure data in Domo systems is accurate Assist in cleanup of old Domo cards and dashboards Stay up to date on the latest features and functionality of the Domo platform