45 Domo Jobs - Page 2

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 hasnt 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, whereTarget in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys 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. Fueling the continued success of one of the worlds most beloved and recognized brands is a distinctly capable, creative and innovative Marketing organization well known for inspiring and surprising guests and we pride ourselves on connecting them to the products and experiences they expect and deserve from Target. Roundel, Targets retail media network, offers the worlds leading advertisers industry leading digital advertising solutions. More than of American adults shop Target, which translates into incredible scale for advertisers to connect directly with our guests and deliver best-in-class marketing outcomes! We design and deliver impactful marketing for brands and their agencies resulting in engagement Pyramid Overview: At its core, Roundel is about using Targets rich insights to create smart, personalized advertising campaigns that bring guests more of the products and offers they love. That moment when guests are prepping for their Target run and see exactly the right online offer at just the right timeThats Roundel. It works on Targets platforms, like Target.com and our mobile app, as well as going beyond to connect our partners with guests across more than 150 premium publishers and channels (thinkPinterest, PopSugar and NBC Universal). We work with some of the largest brands and advertising agencies in the world to create a unique experience for our guests digital journey. As an Analyst Performance and Insights, you will be responsible for driving cutting edge analysis for vendors running advertising campaigns with Roundel (Targets Media Network). The core competency of this role is to handle performance analysis for multiple clients, identify growth opportunities, triangulate data from various sources to drive campaign performance to address marketing objectives, and use data storytelling to influence the vendors media strategy/investment decisions. Responsibilities: Provide mid-flight, ad hoc and end of campaign reporting for digital campaigns; consider past campaign performance, similar campaign objectives, and category benchmarks Combining the individual recaps of the vendor to generate Quarterly/annual recaps and create category level insights Identify the key-metrics, combine them with observations to translate into strategy/vendor insights, adding value to the overall plan Observe and evaluate trends of media campaigns and provide recommendations for optimization tactics and future plans to drive effectiveness Stay updated with the over-all trend and guest behavior in the retail industry and being able to relate the results to derive market level insights Ensure data accuracy, as well as reporting output quality control. Troubleshoot and identify root causes for data inaccuracy- manual v/s system errors Identify, select and extract relevant data from various internal and external sources Independently work on raw data sets into information fit for analysis. Proactively recommend innovative ideas and opportunities About You: Minimum 2-7 years of experience in media or related domain. Strong communication skills and desire to work in cross-functional groups; strong writing skills and presentation skills to engage and influence audiences/client decisions Ability to comprehend advertising metrics (i.e., understand true value of ROI, impact of results, compare actual results to benchmarks) and draw inferences to build forward looking recommendations Exceptional attention to detail, organizational and analytical skills. Ability to multi-task and work within a rapidly changing environment. Continuous drive to improve performance by deriving actionable insight from datasets. Exceptional understanding of the digital measurement space, analytics tools/pixels Knowledge of ad serving, Ad Networks and advertising/media landscape required. Familiar with reporting dimensions and metrics of various ad/reporting servers- DFP, DCM, FB ad manager, Criteo etc. along with expertise in Microsoft Excel, DOMO, Tableau, Adobe Site Catalyst Useful Links : Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

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 Merchandising Manager, you will lead a team of site merchandisers to drive business growth through effective category management and site merchandising strategies. Your focus will be on leading your team to optimize site experience to maximize guest engagement and sales. You will collaborate closely with cross-functional teams, including merchandising, marketing, and analytics, to ensure seamless execution of category strategies and alignment with business goals. Your leadership will be crucial in translating business objectives into actionable site merchandising tactics that enhance the digital shopping experience. Core Responsibilities: Team Leadership: Lead, mentor, and develop a team of site merchandisers, providing development, coaching, motivation, support, and feedback. Promote and model key Target behaviors. Champion diversity and inclusion. Create an atmosphere of teamwork, collaboration, agility, attention to detail, and drive. Category planning and activation Responsible for quarterly planning to drive category goals and ensuring execution of the plan working with multiple stakeholder teams Analytics & Insights: Monitor, understand, and utilize data and key metrics from multiple and varied sources (devices and platforms, guest behavior, market trends, and competitive insights) to optimize short-term performance and to inform long-term strategies. Provide in-depth reporting and insights to partner teams and, identify & highlight performance opportunities. Know and advocate for The Guest: Provide actionable insights by analyzing consumer behavior, site metrics, and demographic trends to enhance user experience. Strategic PlanningDevelop and implement long-term strategic plans for digital category growth Site Optimization: Define the long-term vision for site performance optimization, align site performance goals with overall business objectives and guest experience strategy, and collaborate with partner teams to implement enterprise-level solutions. Results & Financial Accountability: Maintain a strong sense of accountability for delivering financial results, ensuring strategies drive topline sales, profitability, and guest engagement. Know and advocate for the Guest: Develop a deep understanding of guest behavior and user journeys for your categories and leverage this to advocate for an enhanced experience Cross-Functional Leadership: Establish strong cross-functional and cross-channel partnerships across Target. Influence and leverage other teams within the broader organization to advance category digital objectives. (Key stakeholdersDigital Marketing, Digital Category Experience, Merchandising, Marketing, Digital Product Content, Item, taxonomy, Digital Product) Operational Excellence: Streamline processes, manage project timelines, and resolve operational challenges to improve task execution and efficiency. Education/Experience: Bachelors degree in business, Marketing, or a related field (MBA preferred). TII2-year masters 10 + years of experience in retail or e-commerce, with a focus on site merchandising or category management. General Skills: Understanding of Retail and E-commerce: Excellent grasp of mass merchandising, retail, e-commerce, and multi-channel retailing, with deep market insight into trends, competitor activities, and consumer behavior. Leadership and Team Development: Proven ability to lead and develop a team, fostering a collaborative and high-performance work environment, with strong horizontal leadership and influence skills. Curiosity and Passion for Customer Experience: Exhibits a deep curiosity and a strong passion for understanding and enhancing the customer experience. Leads efforts to continuously learn about customer behaviors, preferences, and trends, and drives innovative solutions that delight guests and set industry standards. High level of initiative and organization, with the ability to manage ambiguity, risk, uncertainty and changing directions Strategic Thinking and Planning: Demonstrated ability to develop and implement long-term strategic plans that align with business goals and drive category growth. Influence and Negotiation: Strong skills in influencing partner roadmaps and advocating for the category across teams, ensuring alignment and support for strategic initiatives. Advanced Analytical Skills: Expertise in gathering, analyzing, and interpreting complex data to make strategic decisions and provide high-level insights. Effective Communication: Exceptional written and verbal communication skills to articulate vision, strategy, and insights to senior leadership and stakeholders. Specialized Skills: Business Acumen: Deep understanding of US retail and e-commerce trends, competitor strategies, and category performance. Data & Technical Skills: Proficiency with tools like DOMO, Adobe Analytics Financial Acumen: Expertise in tracking and analyzing revenue, profitability, and other key financial metrics to connect site performance to overall business outcomes. Demonstrates a deep understanding of financial principles and their application in e-commerce and retail environments. Site Optimization: Experience in optimizing site merchandising strategies to enhance guest engagement and sales.

Responsibilities: Design, develop, and maintain data pipelines and ETL processes using Domo. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Implement data transformation and data warehousing solutions to support business intelligence and analytics. Optimize and troubleshoot data workflows to ensure efficiency and reliability. Develop and maintain documentation for data processes and systems. Ensure data quality and integrity through rigorous testing and validation. Monitor and manage data infrastructure to ensure optimal performance. Stay updated with industry trends and best practices in data engineering and Domo. Mandatory Skills- Domo, Data Transformation Layer (SQL, Python), Data Warehouse Layer (SQL, Python) Requirements: Bachelor's degree in computer science, Information Technology, or related field. Proven experience as a Data Engineer, with a strong focus on data transformation and data warehousing. Proficiency in Domo and its various tools and functionalities. Experience with SQL, Python, and other relevant programming languages. Strong understanding of ETL processes and data pipeline architecture. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Strong communication skills to collaborate effectively with stakeholders. Preferred Qualifications: -Knowledge of data visualization and reporting tools. -Familiarity with Agile methodologies and project management tools. - Data Transformation Layer (SQL, Python) -Data Warehouse Layer (SQL, Python) Share your resume over Aarushi.Shukla@coforge.com

Responsibilities: * Design, develop & maintain Domo solutions using SQL, Bi Tools & ETL processes. * Collaborate with cross-functional teams on data visualization & dashboard creation.

At Yum! Were looking for a Software Engineer to add to our dynamic and rapid scaling team Were making this investment to help us optimize our digital channels and technology innovations with the end goal of creating competitive advantages for our restaurants around the globe Were looking for a solid lead engineer who brings fresh ideas from past experiences and is eager to tackle new challenges in our company, Were in search of a candidate who is knowledgeable about and loves working with modern data integration frameworks, big data, and cloud technologies Candidates must also be proficient with data programming languages (e-g , Python and SQL) The Yum! data engineer will build a variety of data pipelines and models to support advanced AI/ML analytics projects with the intent of elevating the customer experience and driving revenue and profit growth in our restaurants globally The candidate will work in our office in Gurgaon, India, As a Software Engineer, You Will Partner with KFC, Pizza Hut, Taco Bell & Habit Burger to build data pipelines to enable best-in-class restaurant technology solutions, Play a key role in our AIDA team developing data solutions responsible for driving Yum! Growth, Develop & maintain high performance & scalable data solutions, Design and develop data pipelines streaming and batch to move data from point-of-sale, back of house, operational platforms and more to our Global Data Hub Contribute to standardizing and developing a framework to extend these pipelines across brands and markets Develop on the Yum! data platform by building applications using a mix of open-source frameworks (PySpark, Kubernetes, Airflow, etc ) and best in breed SaaS tools (Informatica Cloud, Snowflake, Domo, etc ), Implement and manage production support processes around data lifecycle, data quality, coding utilities, storage, reporting and other data integration points, Developing scalable REST APIs in python, Develop and maintain backend services using Python (e-g , FastAPI, Flask, Django), Minimum Requirement Vast background in all things data related (3+ years of Experience) AWS platform development experience (EKS, S3, API Gateway, Lambda, etc ) Experience with modern ETL tools such as Informatica, Matillion, or DBT; Informatica CDI is a plus High level of proficiency with SQL (Snowflake a big plus) Proficiency with Python for transforming data and automating tasks Experience with Kafka, Pulsar, or other streaming technologies Experience orchestrating complex tasks flows across a variety of technologies, Bachelors degree from an accredited institution or relevant experience Experience with at least one of NoSQL databases MongoDB, Elasticsearch etc The Yum! Brands story is simple We have the four distinctive, relevant and easy global brands KFC, Pizza Hut, Taco Bell and The Habit Burger Grill -born from the hopes and dreams, ambitions and grit of passionate entrepreneurs And we want more of this to create our future! As the worlds largest restaurant company we have a clear and compelling mission: to build the worlds most love, trusted and fastest-growing restaurant brands The key and not-so-secret ingredient in our recipe for growth is our unrivaled talent and culture, which fuels our results, Were looking for talented, motivated, visionary and team-oriented leaders to join us as we elevate and personalize the customer experience across our 48,000 restaurants, operating in 145 countries and territories around the world! We put pizza, chicken and tacos in the hands of customers through customized ordering, unique delivery approaches, app experiences, and click and collect services and consumer data analytics creating unique customer dining experiences and we are only getting started, Employees may work for a single brand and potentially grow to support all company-owned brands depending on their role Regardless of where they work, as a company opening an average of 8 restaurants a day worldwide, the growth opportunities are endless Taco Bell has been named of the 10 Most Innovative Companies in the World by Fast Company; Pizza Hut delivers more pizzas than any other pizza company in the world and KFCs still use its 75-year-old finger lickingood recipe including secret herbs and spices to hand-bread its chicken every day, Yum! and its brands have offices in Chicago, IL, Louisville KY, Irvine, CA, Plano, TX and other markets around the world We dont just say we are a great place to work our commitments to the world and our employees show it Yum! has been named to the Dow Jones Sustainability North America Index and ranked among the top 100 Best Corporate Citizens by Corporate Responsibility Magazine in addition to being named to the Bloomberg Gender-Equality Index Our employees work in an environment where the value of ?believe in all people? is lived every day, enjoying benefits including but not limited to: 4 weeksvacation PLUS holidays, sick leave and 2 paid days to volunteer at the cause of their choice and a dollar-for-dollar matching gift program; generous parental leave; competitive benefits including medical, dental, vision and life insurance as well as a 6% 401k match all encompassed in Yum!s world-famous recognition culture,

• 8+ years of BI/Visualization experience using DOMO BI + Power BI/Tableau dashboard development • At least 2 years of DOMO BI experience. • Prefer someone who may have worked on a Migration project from Power BI to DOMO BI.

Domo Data Engineer Responsibilities: Design, develop, and maintain data pipelines and ETL processes using Domo. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Implement data transformation and data warehousing solutions to support business intelligence and analytics. Optimize and troubleshoot data workflows to ensure efficiency and reliability. Develop and maintain documentation for data processes and systems. Ensure data quality and integrity through rigorous testing and validation. Monitor and manage data infrastructure to ensure optimal performance. Stay updated with industry trends and best practices in data engineering and Domo. Requirements: Bachelor's degree in Computer Science, Information Technology, or related field. Proven experience as a Data Engineer, with a strong focus on data transformation and data warehousing. Proficiency in Domo and its various tools and functionalities. Experience with SQL, Python, and other relevant programming languages. Strong understanding of ETL processes and data pipeline architecture. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Strong communication skills to collaborate effectively with stakeholders. Mandatory Skills- Python & SQL Knowledge of DOMO is highly preferred Preferred Qualifications: Knowledge of data visualization and reporting tools. Familiarity with Agile methodologies and project management tools. Data Transformation Layer (SQL, Python) Data Warehouse Layer (SQL, Python)

As a business analyst, you will be responsible for: Business Requirements and Specifications : Identify and translate business needs into functional specifications. Documentation : Produce high-quality documentation for requirements gathering, business analysis, and process mapping/optimization. Collaboration: Collaborate with architects, engineers, and analysts in various locations to attain desired outcomes. Project Management & Delivery : Collaborate with Product/Project Managers to develop project plans, identify risks and issues, participate in backlog grooming, prioritize tasks, and assist in iteration planning with the delivery team. Overseeing end-to-end delivery of projects from inception through to completion. Stakeholder Engagement : Lead interactions with global sales and marketing stakeholders. Presentation and Reporting : Prepare presentation materials for senior leadership and support project status monitoring and reporting. Functional Expertise : Develop deep expertise in the specified business areas, stay updated with industry trends, and continuously improve the operating model. User Support and Training : Provide support and training to users on technology platforms and tools. Mentorship : Serve as a mentor or coach to junior business analysts within the team. About you With a solid background in the analysis, design and implementation of complex technology solutions, youre the specialist we need. You: Experience : Minimum 6 years of business analysis experience within the asset management industry or financial services/investment banking industry. Technical Skills & Industry Knowledge: Experience with industry-standard software delivery life cycles, including both in-house built systems and vendor implementations. Experience in Content Management Systems (built inhouse or vendor solution) Working knowledge of databases and SQL queries. A good understanding of the end-to-end asset management process and data. Thorough understanding of different asset classes, including Equity, Fixed Income, and Multi-Assets. Communication Skills : Effective communication and problem-solving skills to explain complex ideas to non-technical audiences. Experience working with senior business stakeholders. Strong problem-solving and teamwork skills. Education & Professional Qualifications: B. Tech B.E. or MBA (Finance) preferred Relevant certifcations such as CFA, FRM, or CIPM being advantageous. Additional Skills (Nice to Have): Familiarity with CRM systems, with Salesforce experience preferred. Experience with sales and marketing tools such as Seismic, Marketo, Medallia, etc. Knowledge of visualization tools like Tableau, Power BI, DOMO, etc. Experience with third-party market data providers like Bloomberg, Morning Star etc. Experience working in data platforms. Experience in decommissioning & replacing legacy systems with strategic systems.

You will be part of the global Marketing & Creative Services team and will be responsible for working with marketing teams (onshore & offshore) to Build enterprise data and analytics solutions generating meaningful KPI dashboards for Capgemini Group Drive BI and Data Analytics solutions for measuring strategies aligned to marketing and business objectives. Understand the overall digital landscape of the organization as well as that of key competitors. Key Responsibilities Participate in marketing/campaign briefing, solution architecture building and design activities. Manage the implementation of tracking tags using Google Tag Manager to measure web & marketing campaign performance Develop integrated corporate visualization solutions derived from multiple data sources using state-of-the-art tools to enable insight and decision-making at various levels Develop data models, including performance measures, to enable scorecard analysis Perform ad-hoc analysis and present results in a clear manner Learn and establish data visualization standards and explore new, cutting-edge tools to periodically raise those standards Ensure accuracy, completeness and timeliness of reporting through proactive awareness, alerts, testing and processes Perform exploratory data analysis and data pre-processing to arrive at patterns and trends. Communication Working closely with the platforms team, digital & marketing teams. Collaborate with wider business stakeholders from Group Good presentation skills for reports and dashboards Specification / Skills / Experience Must have high level of proficiency in data visualization tools - Power BI and/or Looker Studio, and/ or Tableau, DOMO Hands on experience in implementing and managing Google Tags solutions using GTM or other tag management tools Experience with JavaScript, HTML, and CSS for custom tag implementations will be an Add on Strong understanding of digital marketing KPIs & tracking methods. Capability to create data story with the help of dashboard in defined timelines Strong knowledge of data warehouse concepts including: data modelling, data quality, ETL, reporting, analytics, and visualization Good grasp over Amazon AWS/RedShift/Azure/GCP or other Datawarehouse providers Knowledge on data extraction and data cleansing methodologies Must have proficiency in SQL to write analytical queries, create filters and calculated data sets Strong critical thinking, analytical, organizational, interpersonal, verbal and written communication skills Highly motivated and able to work independently as well as in a team environment Ability to operate comfortably and effectively in a fast-paced, highly cross-functional, rapidly changing environment Excellent analytical skills with demonstrated ability to solve problems Agile mindset and good understanding of MVP / iterative development is desired

We are seeking a highly skilled Lead BI Developer with deep expertise in Tableau and Business Intelligence solutions to join our growing team. In this role, you will design and develop end-to-end BI solutions that empower data-driven decisions across the organization. You will collaborate closely with cross-functional teams, manage complex BI environments, and ensure seamless data visualization and reporting. 1. Key Responsibilities BI Development & Data Visualization Design, develop, and maintain complex, scalable Tableau dashboards and visualizations. Create data cubes and prepare layered BI models to drive efficient reporting. Develop, test, and optimize Tableau reports and business intelligence solutions. Evaluate and improve existing BI systems, reports, and dashboards for better performance and usability. Conduct iterative review cycles to ensure deliverables meet or exceed user expectations. Data Management & Analytics Develop and execute optimized SQL queries for large datasets. Maintain, support, and enhance data analytics platforms and BI environments. Collaborate with data engineering and development teams to integrate data sources and systems. Conduct detailed data analysis and deliver actionable business insights. Architecture & Design Provide technical expertise in BI architecture, solution design, and implementation. Work closely with architects to implement best practices in BI and data visualization. Maintain consistency in design and code by adhering to internal standards and style guides. Documentation & Support Develop and maintain technical documentation for BI systems and dashboards. Resolve support tickets and troubleshoot Tableau-related issues. Support migration efforts (e.g. migration from Tableau) when required. Collaboration & Communication Work with business stakeholders and team members to translate complex business requirements into technical solutions. Present findings and insights clearly to non-technical audiences. Mentor junior developers and contribute to a culture of continuous learning. 2. Required Skills & Qualifications Proven expertise in Tableau development, including dashboard creation, visualization design, and performance optimization. Strong understanding of Tableau architecture and administration. Advanced proficiency in SQL (MS SQL Server) ability to write efficient and optimized queries. Background in data warehouse design (dimensional modeling) and data mining. Strong Excel skills (macros, pivot tables, advanced calculations). Experience preparing data cubes and using ETL tools. High attention to detail with strong problem-solving aptitude. Excellent communication and presentation skills, with the ability to engage directly with clients and stakeholders. 3. Preferred / Good-to-Have Skills Experience with Google BigQuery, Domo BI, Power BI. Understanding of data mart design and development. Exposure to ETL tools and processes. Experience with migration projects involving Tableau. Knowledge of the loan domain and ability to create domain-relevant visualizations and insights.

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.