ANALYTICS DEVELOPER JOB DESCRIPTION

Every organization accumulates data faster than it can use it. An Analytics Developer converts that backlog into structured pipelines, governed data models, and dashboards that decision-makers can actually act on. The role typically sits within a BI or Advanced Analytics team, collaborating with data engineers, business analysts, and end users across departments. What makes it demanding is the dual accountability: architectural rigor on one side, and stakeholder communication on the other.

As the Analytics Developer, you design and maintain the data pipelines, models, and reporting solutions that translate raw organizational data into measurable business intelligence outputs. You work within a BI or Analytics team, partnering with data engineers, architects, and business stakeholders to gather requirements, validate data quality, and deliver analytics solutions that inform decisions at every level of the organization.

Career Impact: Professionals in this role build deep expertise in data warehouse architecture and agile analytics delivery, credentials that carry significant weight when moving into senior BI or data architecture positions.

Business Impact: The dashboards and data models you produce become the primary reference point for KPI tracking and strategic planning across multiple business units, meaning your output shapes decisions made at the leadership level.

Growth Opportunity: Hands-on ownership of the full requirements-to-deployment cycle, combined with exposure to machine learning integration and big data technologies, expands your market value toward roles such as Senior Analytics Engineer or Data Architect.

• Design and build data pipelines and logical data models that support new analytics applications and reporting requirements.
• Develop dashboards and end-user reports that communicate key performance indicators to stakeholders across all organizational levels.
• Synthesize business requirements from cross-functional partners into documented data architecture, including data sources, interfaces, and movement.
• Validate data quality across datasets, identifying gaps and implementing corrections to ensure accuracy and reliability.
• Implement production efficiencies including reusable patterns, automated processes, and deployment standards within the analytics environment.
• Monitor and troubleshoot existing analytics systems, resolving performance issues and integrating new elements to improve output.
• Collaborate with data engineers, data scientists, and business analysts to align models and metrics with organizational strategy.
• Document requirements, data definitions, business rules, and design decisions to support ongoing maintenance and end-user enablement.

• Bachelor's degree in computer science, mathematics, statistics, information systems, or equivalent work experience.
• 3 or more years of analytics or business intelligence development experience, with demonstrated ownership of reporting solutions from requirements through deployment.
• Proficiency in relational database querying including stored procedures, views, and complex joins across large datasets.
• Demonstrated ability to design conceptual and logical data models aligned to data warehouse principles.
• Experience translating business requirements into technical data specifications and analytical deliverables.
• Strong data quality assessment skills, including profiling, gap analysis, and validation methodologies.
• Ability to communicate analytical findings and data concepts clearly to non-technical stakeholders.

Experience with agile development methodologies, including sprint planning, backlog management, and iterative delivery.

Familiarity with big data processing frameworks and distributed computing environments.

Knowledge of machine learning concepts and their integration into analytics pipelines.

Prior involvement in system migrations or upgrades requiring coordination of database objects and reporting assets.

• Dashboard adoption rate, measuring how consistently end users access and rely on delivered reports.
• Data pipeline reliability, tracked as percentage of scheduled jobs completing without error per month.
• Requirements-to-delivery cycle time, reflecting how efficiently business requests are converted into deployed solutions.
• Data quality score per dataset, measuring error rate reduction after validation and cleansing interventions.
• Stakeholder-reported accuracy rate on delivered models, captured through structured post-delivery review.
• Typical tools: Query and ETL (commonly SQL Server, SSIS); visualization (commonly Power BI, Tableau, SSRS).

• Base Salary Range: $85,000 to $120,000 annually, depending on seniority and location.
• Bonus: 5 to 10 percent annual performance-based bonus.
• Equity: stock options or RSUs at mid-to-large employers.
• Health Benefits: medical, dental, and vision coverage, typically employer-subsidized.
• PTO: 15 to 20 days annually, plus public holidays.
• Common Perks: Remote or hybrid flexibility, professional development budget, and conference attendance support.

Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

Reasonable accommodations are available to applicants with disabilities throughout the hiring process and in the workplace, in accordance with the Americans with Disabilities Act and applicable state law. All qualified applicants are considered without regard to race, color, religion, sex, national origin, age, genetic information, veteran status, or any other characteristic protected under federal, state, or local law. Offers of employment are contingent on successful completion of a background check. Candidates must be authorized to work in the United States.

The Analytics Developer owns the full analytics lifecycle, synthesizing business requirements into data pipelines, machine learning models, and visualizations that inform organizational decisions. Working cross-functionally with data engineers, data scientists, and data architects, the developer leads projects from planning through delivery using agile scrum methodology.

Key Responsibilities

• Synthesize business requirements and develop innovative analytics solutions that meet customer requirements.
• Develop and manage project plans, test designs, and other documents.
• Map data sources and document data architecture, data interfaces, and data movement.
• Analyze structural requirements and build data pipelines and models for new software and analytics applications.
• Manipulate and analyze complex, high-volume, high-dimensional data using data analysis techniques.
• Work on data modelling, metric development, data prototyping, and insight generation using statistical techniques.
• Use machine learning algorithms, libraries, and tools to build machine learning and statistical models.
• Define ways to capture relevant data and pre-process and clean data for analysis.
• Perform analytics and visualization of datasets using data mining techniques.
• Evaluate and recommend new data management and storage technologies and standards.
• Manage and lead data projects and implement them according to project plan, time, and budget using agile scrum.

Required Qualifications

• Bachelor or master degree in mathematics, computer science, statistics, or related fields.
• At least 7 years of working experience in IT industry or IT-related field.
• Experience working cross-functionally with data engineers, data scientists, data architects, and other stakeholders.
• Good knowledge of database or data warehouse principles and tools.
• Excellent knowledge of business intelligence and visualization tools.
• Technical expertise regarding data models, data mining, and segmentation techniques.
• Good knowledge of machine learning techniques and algorithms.
• Good knowledge in at least one programming language such as Python, R, C++, or Java.
• Good knowledge of big data technologies such as Hadoop, Hive, and Spark.
• Proactive and driven to deliver results with a keen eye for detail and strong analytical and problem-solving skills.

Embedded within the Commercial Digital Solutions Advanced Analytics team, the Analytics Developer delivers BI and data warehouse solutions using the Microsoft BI stack and Azure-based tools to serve customers, field organizations, and back-office associates. Working closely with business stakeholders, architects, and technical BAs, the developer provides technical leadership and implements best practice standards that expand the capabilities of analytics environments globally.

Core Functions

• Work closely with the business, architects, and technical BAs to identify value propositions that can be implemented using technology.
• Design, build, implement, and help maintain solutions to meet global business needs using the Microsoft BI stack and Azure-based tools.
• Provide technical guidance and implement technical patterns for analytics developers.
• Stay current on technology, tools, and approaches in BI, data warehouse, analytics, and visualization frameworks.
• Identify and implement production efficiencies such as automation, deployment processes, and reusable patterns.
• Solve complex problems and develop proofs of concept to validate ideas or technologies.
• Create and update best practice standards, patterns, and templates.
• Support the system and troubleshoot system-related issues.

Qualifications and Experience

• Bachelor's degree in Information Technology or related field.
• Master's degree in Information Technology preferred.
• 8 years of experience in Information Technology.
• 5 years of experience designing and developing BI and data warehouse solutions using Microsoft BI stack such as SQL DW, ADLS, Snowflake, ADF, SSAS tabular, Power BI, and SSRS.
• 3 years of programming experience in Python, .Net, Java, Scala, or C#.
• 5 years of experience working with SQL, stored procedures, change data capture, and relational or multidimensional databases.
• 3 years of experience with Azure cloud development.
• Proven ability to quickly learn new technologies with strong problem-solving orientation and agile methodology experience.

Reporting to business leadership, the Analytics Developer designs and maintains dashboards and reports that track key performance indicators and guide Customer Success strategy across all organizational levels. Partnering with internal and external clients, the developer models correlations between services and outcomes, translating data trends into visualizations that directly support business decisions.

Primary Duties

• Design and maintain reports and dashboards to track and communicate key performance indicators to all levels of the organization.
• Work in a team environment to identify behaviors and goals to measure and build easy-to-understand dashboard visualizations.
• Ensure critical metrics align to the company's and organization's initiatives and strategy.
• Identify key data sources and collection mechanisms to collect and improve data needed.
• Conduct modeling to understand correlation between Customer Success services and lagging indicators.
• Guide business decisions through interpretation of data trends and develop data visualizations to illustrate key findings.
• Provide enablement to partners on dashboards and reports.
• Help establish and improve frameworks and processes to ensure relevance and alignment to business requirements.
• Document the metrics framework.

Skills and Qualifications

• Bachelor's degree or equivalent in Computer Science, Statistics, Mathematics, or Information Systems preferred.
• 5 or more years of experience in business intelligence, data, and statistical analysis.
• Strong statistical analysis and modeling skills.
• Experience with XML, CSS, SQL or SOQL, and RegEx.
• Hands-on experience building data visualizations.
• Understanding of Salesforce reporting and analytics.
• Excellent understanding of Splunk, especially dashboarding and integration with other applications using REST API.
• Experience with Data-Driven Decision-Making approach.
• Strong interpersonal skills with ability to translate complex ideas and build rapport with internal and external clients.

Sitting at the intersection of data engineering and utility operations, the Analytics Developer designs and develops analytical use cases, dashboards, and reports that improve network reliability and management within Electricity Networks. Operating across divisions and reporting to the Lead Data Analytics, the developer coordinates business requirements, supports IT architecture design, and provides subject matter expertise to advance the organization's Intelligent Utility strategy.

Duties

• Design and develop analytical use cases, applications, analytic tools, dashboards, and reports to improve network reliability and management.
• Provide cross-division operational support for day-to-day needs.
• Develop proof-of-concept applications, dashboards, and reports to validate proposed use cases.
• Provide subject matter expert guidance at the database level across all dashboards, metering, asset, and network automation related systems.
• Coordinate business requirements across divisions and provide data extracts or self-serve reporting and dashboards.
• Translate application strategies and business requirements into operational design projects.
• Work collaboratively with IT to design supportable use cases and architecture while adhering to security guidelines.

Experience and Qualifications

• Degree in Computer Science or IT.
• High-level working knowledge of SQL databases and programming with Postgres and Oracle preferred.
• Strong experience building, delivering, and maintaining business intelligence reports and dashboards using Tableau and SQL.
• Experience in Python programming preferred.
• Understanding of application automation, release lifecycle knowledge, and code control methodologies.
• Experience working with packages for data extraction and generating reports for business users.
• Good understanding of GIS systems with preference for Smallworld and asset management systems with preference for SAP.
• Previous experience in the utilities sector preferred.
• Innovative, solution-oriented approach with highly developed analytical and problem-solving skills and ability to convey complex concepts clearly.

A key member of the data team, the Analytics Developer analyzes and organizes raw data from multiple sources, building and optimizing datasets, models, and dashboards that support business consumption and decision-making. Collaborating with data scientists and architects, the developer maintains database systems, ensures data quality and reliability, and applies SQL Server and Power BI expertise to meet analytic requirements.

Functions

• Analyze and organize raw data from different sources.
• Conduct complex data analysis and report on results.
• Develop analytical tools, programs, and complete accurate datasets for business use and consumption.
• Deliver end-user reports and dashboards.
• Design conceptual and logical data models and flowcharts.
• Work with analysts on data gaps and quality assurance and assist with reports and data extraction.
• Improve system performance by conducting tests, troubleshooting, and integrating new elements.
• Optimize new and current database systems and troubleshoot data-related problems.
• Explore ways to enhance data quality and reliability.
• Collaborate with data scientists and architects on projects, future needs, and requirements.

Education and Experience

• Bachelor's degree in computer science, mathematics, or relevant field.
• 5 to 7 years of data engineering and development experience.
• Expertise in SQL Server development including tables, views, stored procedures, and functions.
• Expertise in SQL Server Integration Services and Power BI.
• Experience and knowledge of PowerShell.
• In-depth understanding of database structure principles and data administration including collection, analysis, and data modeling.
• Knowledge of data mining and segmentation techniques.
• Proficiency in MS Office including Teams, PowerPoint, and Visio.
• Strong ability to learn and adapt with demonstrated analytical and problem-solving skills in a geographically diverse complex organization.

Informed business decisions across the organization depend on the Analytics Developer, who identifies reporting opportunities, manages BI development projects, and builds SQL and data warehouse solutions that expand analytic access for end users. Based within the IT function and working with the Manager of Data Warehouse, the developer maintains documentation, supports system migrations, and advocates for data warehouse adoption throughout the organization.

Accountabilities

• Identify opportunities across the organization where reporting solutions can aid in decision-making and manage small reporting projects from request through development, QA, documentation, and post-deployment maintenance.
• Work with Manager of Data Warehouse to enhance data available internally and externally and design and build analyses and dashboards to support user access.
• Advocate for the use of the data warehouse as an analytics tool across the organization.
• Maintain documentation of business rules and provide training and support to end users.
• Maintain and create SQL solutions to various business problems including custom import solutions, database jobs, and other non-user-facing SQL needs.
• Support other reporting solutions including Excel, Microsoft Access, ArtsVision Epic Reports, Tableau, and Power BI.
• Participate in system upgrades and migrations with regard to updating reports and database objects.

Professional Experience

• Bachelor's degree in related field or equivalent experience.
• 3 or more years of experience with full life cycle of business intelligence development projects.
• 1 or more years of experience with SQL Server Reporting Services or similar tool.
• Strong SQL query and stored procedure skills specifically with Microsoft SQL Server.
• Experience with visualization tools such as Tableau, Power BI, or QuickSight.

As the Analytics Developer, this role works on diagnostic analytics use cases, mining disparate data sources and communicating insights to non-technical stakeholders to support data-driven decision making. The analytics team relies on this work to build accelerators, shape new formal analytical capabilities, and advance best practices across the organization.

Operational Focus

• Work on diagnostic analytics use cases and adhere to standards and best practices for performing diagnostic analysis.
• Support building of accelerators to solve ongoing business questions.
• Combine large volumes of disparate data sources and mine them for meaningful insights.
• Communicate results of models to non-technical resources through intuitive UI design and various presentation methods.
• Support promoting data-driven decision making and advanced analytics techniques within the organization.

Background and Experience

• Degree in business, economics, finance, supply chain, or related discipline.
• 1 to 2 years of experience in analytics projects with emphasis on solving business problems using data mining techniques.
• Experience in Big 4 consulting and manufacturing sectors, specifically operations, quality reliability, and supply chain is a plus.
• Strong hands-on experience in Databricks, Python, Power BI, Excel, and SQL.
• Strong ability to combine large volumes of disparate data sources and present analysis findings to business stakeholders.

Analytics Developer collaborates with departments to conceptualize, code, and test software programs and applications that meet technical specifications and evolving business needs. The work directly supports end users and management through the delivery of performance-tested solutions, user documentation, and actionable statistics and reports.

Job Functions

• Collaborate with departments to conceptualize new solutions for software programs and applications.
• Consistently write, translate, and code software programs and applications to specification.
• Research emerging application development software products, languages, and standards.
• Liaise with vendors for efficient implementation of new software products and systems.
• Liaise with network administrators, systems analysts, and software engineers to resolve problems with software products.
• Design, run, and monitor software performance tests on new and existing programs.
• Develop and maintain user manuals and guidelines and train end users to operate new or modified programs.
• Administer critical analysis of test results and generate statistics and reports for management.

Technical Qualifications

• Diploma or degree in computer science, information systems, or software engineering.
• Minimum 3 years of working experience in a similar role.
• Certifications in modern software development languages and development approaches.
• Proficiency in SQL and Microsoft Access.
• Excellent understanding of coding methods and best practices.
• Experience interviewing end users for insight on functionality, interface, problems, and usability.

The Analytics Developer produces Workday reports and analytical solutions that support people analytics needs, data literacy, and data-driven decision making across the HR organization. Working as part of the HR analytics team and interfacing directly with HR practitioners and clients, the developer manages dataset requirements and delivers dashboards, infographics, and data models that generate usable insights.

Key Deliverables

• Develop and improve Workday reports and serve as a source of expertise on Workday reporting, functionality, and report availability.
• Manage requirements on internal datasets including scope of work, defining the data model, and developing ETL processes.
• Develop, enhance, and analyze analytical solutions such as dashboards, infographics, data models, and reports.
• Identify risks and opportunities through data and advise on data improvement initiatives.
• Execute data analysis activities focused on generating usable insights for HR practitioners.

Minimum Qualifications

• High school diploma required and bachelor's degree preferred.
• 2 years of relevant experience for associate level and 5 years for intermediate level.
• Ability to interpret and utilize data sources including Workday's object-oriented data architecture and arrays, lists, and dictionaries.
• Proficiency in Excel including pivoting and VLOOKUP, Workday Report Writer, SQL, and basic Python.
• Data literacy including understanding of relationships between datasets and data visualizations.
• Strong ability to independently find answers using available information and interact with clients to gather requirements and solicit feedback.

Embedded within a health system analytics function, the Analytics Developer develops and delivers data warehouse and analytic solutions including ETL packages, visualizations, and statistical analyses that transform raw data into actionable information. Working collaboratively with business users and multi-department teams, the developer designs relational databases, evaluates data quality, and facilitates internal and external training to build organizational analytic capability.

Role Responsibilities

• Deliver data warehouse and analytic solutions including ETL packages, visualizations, and data and statistical analyses.
• Work with business users to develop analytics solutions and gather and execute requirements.
• Develop, design, and support applications and relational databases.
• Assist with development of pipelines to synthesize raw data into actionable information.
• Evaluate data quality and interpret results clearly and concisely.
• Develop documentation on requirements, decisions, design, modifications, and maintenance.
• Support analytics projects and collaborate with multi-department efforts and projects.
• Participate in training development, maintenance, and facilitate trainings internally and externally.

Experience and Qualifications

• Bachelor's degree in Information Systems or related field.
• 2 years of experience in analytics or data warehousing.
• Proficiency in SQL for data extraction, manipulation, and reporting including queries and stored procedures.
• Experience with data visualization tools such as Tableau, SSRS, and Power BI.
• Knowledge of structured programming, SSMS, and SSIS.
• Experience developing analytical solutions with business users.

Reporting to the head of the analytical team at a rapidly growing Reinsurance Brokers in London, the Analytics Developer designs and develops quantitative risk models that deliver best-in-class exposure, loss, and profitability analytics for reinsurance clients. Partnering with actuaries, analysts, and brokers, the developer helps build and lead a team of agile software engineers to create a platform of capabilities serving both internal and external clients.

Strategic Responsibilities

• Design and develop quantitative risk models to create best-in-class exposure, loss, and profitability analytics.
• Help forge and lead a team of agile software engineers.
• Build complex solutions that discover insights.
• Work closely with actuaries, analysts,
• Brokers to develop a platform of capabilities for internal and external clients.

Knowledge Skills and Abilities

• Python and R language essential with Jupyter Notebooks, Databricks, and Spark experience preferred.
• Experience with other development languages and IDEs, especially developing against third-party APIs to generate, extract, and process datasets.
• Experience using different database and analysis tools including SQL and NoSQL technologies.
• Experience developing financial modelling solutions using distributed compute models.
• Knowledge of financial and stochastic modelling with experience in reinsurance and catastrophe modelling data analysis.

Analytics Developer refines data solutions and visualizations for EMEA Supply Chain business users, automating and deploying analytics that drive real change across the supply chain function. Success in the position means translating business user stories into Power BI and Power Apps solutions, supporting team members, and owning user education and rollout end to end.

Day-to-Day Responsibilities

• Collaborate with EMEA Supply Chain business users to understand business needs.
• Complete design and development of data solutions and visualizations.
• Roll out and automate effective solutions.
• Deploy solutions optimally and own ongoing education, rollout, and user support.
• Support wider data and analytics team members.

Requirements

• 5 or more years of experience in supply chain or digital analytics or equivalent.
• Proficient in Power BI ecosystem including Power Query M coding and DAX, with PL-300 certification a plus.
• Advanced MS Excel skills including Power Pivot, cube functions, measures, and lambda functions, with experience in Excel VBA and macros interacting with SAP GUI.
• Understanding of data warehouse terminology and data modelling best practices.
• Experience with data transformation techniques such as Alteryx and Python.
• Experience creating apps in Power Apps and flows in Power Automate.
• Highly motivated self-starter with strong interpersonal and communication skills able to lead projects creatively and independently.

Sitting at the intersection of quantitative analysis and enterprise data architecture, the Analytics Developer applies advanced statistical analysis and Qlik Sense expertise to solve complex, multi-faceted business problems and identify improvement initiatives across a large, mission-critical environment. Operating across business and technology areas, the developer engineers datasets into data warehouse structures, manages the full analytical project lifecycle, and builds relationships with stakeholders to influence data strategy.

Scope of Work

• Gather business and functional requirements and develop technical specifications for data analysis.
• Apply critical thinking and perform advanced analytics to solve complex and multi-faceted business problems using Qlik Sense.
• Create and leverage analytical approaches to analyze domain-specific source data and identify improvement initiatives.
• Evaluate the current operational environment and identify opportunities to leverage advanced analytics.
• Drive the design or review of test cases, process change requests, and manage project scope, acceptance, installation, and deployment.
• Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations.
• Engineer datasets into a standard data warehouse structure with common conforming dimensions and Kimball-style fact and ETL processing.
• Communicate effectively with project team members and sponsors throughout the project lifecycle.
• Build relationships and leverage subject matter expertise to drive conversations and influence decisions with business and technology areas.

Technical Qualifications

• Graduate or postgraduate in computer science or related discipline.
• 3 or more years of Qlik Sense analyst developer experience in a large, matrix-structured, mission-critical environment, preferably financial services.
• Proven ability to develop complex, highly visible analytical dashboards from concept through implementation.
• Knowledge and experience of data warehousing, data lake, and business intelligence strategies and architecture.
• Strong SQL knowledge with demonstrated active usage to query and engineer data.
• Detailed knowledge and track record of delivery in Qlik Sense.
• Experience leveraging data automation applications such as Xceptor, Alteryx, and SSIS.
• Proficient in advanced statistical analyses and working with large data sets to identify value-add to the business.

A key member of the digital analytics team, the Analytics Developer leads Adobe Analytics tagging implementation and manages client-side and server-side tag deployment across websites, mobile apps, and web apps to ensure consistent data capture across all digital platforms. Collaborating with developers and product owners, the developer maintains documentation, performs data quality audits, and publishes JavaScript to support both web and marketing analytics consistency.

What You'll Do

• Develop web measurement plans and lead Adobe Analytics tagging implementation from Adobe Launch.
• Manage tagging needs for both client-side and server-side implementation utilizing data insertion API and TMS solution.
• Implement all tags from analytics to third-party pixel tags to support web and marketing analytics consistency on digital platforms.
• Partner closely with developers to ensure the data layer has all elements properly exposed to execute analytics tags.
• Create and publish JavaScript to track required actions on all digital properties including website, mobile app, and web app.
• Ensure alignment of data across multiple properties in Adobe and reporting suites for cross-property consistency.
• Maintain clean documentation of existing and future implementation while adhering to organizational standards.
• Perform data quality audits, QA tags, identify data collection issues, and implement fixes and automation testing using ObservePoint.

Position Requirements

• Undergraduate or master's degree in Computer Science, Business Analytics, Mathematics, Statistics, or related quantitative field preferred.
• 3 or more years of hands-on experience implementing Adobe Analytics on websites and native apps.
• Experience implementing and using tag management systems such as Adobe Launch, Ensighten, and Tealium.
• Advanced proficiency in HTML, CSS, and JavaScript with detailed knowledge of browser dependencies and cross-platform issues.
• Experience working with mobile apps on Android and iOS platforms.
• Strong experience writing and modifying JavaScript and jQuery.
• Well versed in web development lifecycle, agile methodology, and Atlassian products.
• Strong communication skills and attention to detail with ability to manage multiple priorities and meet project deadlines.

Analytics Developer advances Tableau dashboard development by defining, retrieving, and analyzing large datasets across SQL, SAP Hana, Redshift, and PostgreSQL to create innovative, interactive scorecards and predictive model visualizations for customers. The work directly supports product owners, data engineers, analysts, and business Tableau power users by executing technical requirements and providing L1 and L2 production support on dashboards and related applications.

Areas of Ownership

• Define, retrieve, and analyze large datasets across multiple internal and external sources using SQL, APIs, SAP Hana, Redshift, and PostgreSQL.
• Incorporate parameters, sets, advanced calculated fields, level of detail and table calculations, user filters, action filters, and advanced technical charts into Tableau dashboards.
• Create innovative, interactive dashboards and scorecards for key performance indicators tailored to customers.
• Build intuitive dashboards to illustrate results from predictive models for advanced analytics projects.
• Participate in regular discussions with product owners, consultants, analysts, data engineers, and other team members to execute technical requirements.
• Coach business Tableau power users in new Tableau capabilities to improve their visualizations.
• Provide production support on dashboards and related applications at L1 and L2 level.

Qualifications and Experience

• Bachelor's or master's degree in Computer Science, Information Technology, or equivalent qualification.
• 4 to 7 years of experience developing dashboards and visualizations using Tableau software versions 2019.x and above.
• Minimum 3 years of experience with data extraction and analysis using complex SQL, preferably MS SQL.
• Experience with advanced Tableau topics such as complex calculations, table and LOD calculations, parameters, geographic mapping, and advanced filter actions.
• Experience leading large-scale enterprise-level implementation of reporting projects.