business data analyst

<div>COMPENSATION
Comp Range: $81,450 &ndash; $108,600 
ROLE SUMMARY
The Senior BI Commercial Data Analyst plays a key role in developing, maintaining, and innovating data analytics reporting solutions within the commercial analytics team. This position will design, develop, and manage Power BI reports and dashboards by leveraging strong data analytics skills, Power BI expertise, and a clear understanding of Azure Data Lake environments. The role will also conduct piece-level data (PLD) analysis to create customer profiles, working closely with the sales team to understand requirements and deliver accurate, logically sound analytical solutions. In addition, this position will support the continuous improvement of existing reporting and analytical processes while contributing to broader data analytics projects as required. 
ESSENTIAL DUTIES AND RESPONSIBILITIES<ul><li>Design, develop, and publish Power BI reports and templates that are visually intuitive and aligned with end-user needs and business requirements.</li><li>Ensure all commercial Power BI reports are logically sound, mathematically accurate, and free of errors prior to deployment.</li><li>Gather and understand business requirements from stakeholders and translate them into logical, accurate, and user-friendly Power BI reports and dashboards.</li><li>Maintain and monitor all published Power BI reports to ensure minimal downtime and continued alignment between report logic and evolving business requirements.</li><li>Conduct PLD analyses by working closely with the sales team to understand requirements, develop comprehensive solutions, and provide follow-up support to ensure</li></ul>
 findings are clearly understood.<ul><li>Ensure all PLD analytical solutions are logically and mathematically sound, free of errors, and meet the requirements of the requesting stakeholder.</li><li>Proactively identify opportunities to make PLD analyses more comprehensive, insightful, and efficient over time.</li><li>Model and optimize logistics processes to support product management using Power BI, Excel, Access, Python, and/or other statistical tools.</li><li>Understand and become a subject matter expert on USPS requirements and postal regulations related to logistics questions, including product classification, zone</li></ul>
 pricing, dangerous goods, and other related topics.<ul><li>Support ad hoc requests from the sales and leadership teams by providing data-driven conclusions and recommendations to help drive product strategy.</li><li>Leverage Azure Data Lake to extract, transform, and analyze large volumes of data to support reporting and analytical needs.</li><li>Support additional data analytics projects across the commercial team as required.</li><li>Work both independently and collaboratively within the team to deliver high-quality analytical outputs within agreed timelines.</li><li>Perform other duties and special projects as assigned.</li></ul> 
EDUCATION AND EXPERIENCE<ul><li>Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related quantitative field is required.</li><li>Master&rsquo;s degree or MBA in Business, Operations, Business Logistics Engineering, or a related field is preferred.</li><li>5 years of related work experience in data analytics, product management, management consulting, or data science is required.</li><li>2&ndash;3 years of working knowledge of Microsoft Power BI is required, with a good understanding of Azure Data Lake and Databricks.</li></ul> 
REQUIREMENTS AND SKILLS<ul><li>Strong analytical, problem-solving, and quantitative analysis skills.</li><li>Expert knowledge of Microsoft Power BI.</li><li>Strong knowledge of databases, data analytics, and visualization tools, including Oracle SQL Developer, Python, Power BI, and Tableau.</li><li> Proficiency in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory, and Azure Synapse Analytics for data extraction, transformation, an</li></ul>
 analysis.<ul><li> Strong working knowledge of SQL, PySpark/Python, DAX, and Power Query for data processing and Power BI report development.</li><li>Strong written and verbal communication skills, with the ability to explain analytical findings clearly to business stakeholders.</li><li>Strong planning, project management, and organizational skills.</li><li>Proficiency in Excel, PowerPoint, MS Access, and Visio.</li><li>High attention to detail with a forward-thinking mindset.</li><li>Ability to work individually or within a team in a fast-paced environment.</li><li>Ability to lead cross-functional teams and indirectly manage more junior team members.</li></ul> 
WHY THIS ROLE MATTERS
This role offers the opportunity to directly influence commercial decision-making through high-quality reporting, customer analytics, and actionable insights. The successful candidate will help transform complex commercial, logistics, and customer data into clear business recommendations while improving reporting processes and supporting product strategy.
We are looking for someone who can combine technical capability, commercial curiosity, and strong communication skills to deliver high-impact analytical solutions in a fast-paced environment. If your experience aligns with the requirements above and you are ready to contribute to data-driven commercial strategy, we would be excited to hear from you.
#SCOUT</div>

Senior Business Intelligence Data Analyst

Winaxis LLC

<div>
 We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor s degree from an accredited university or college in computer science. Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into nontechnical, lay terms. High-level experience in methodologies and processes for managing large-scale databases. Demonstrated experience in handling large data sets and relational databases. Understanding of addressing and metadata standards. High-level written and verbal communication skills.
</div>

Data Analyst

WoodmenLife

Data Analyst
 
Business Technology – Data Analytics | WoodmenLife
 Location: Hybrid (Omaha, NE) must be in OMAHA
 Reports To: Manager Data Analytics
 
Why You’ll Love This Role
 
WoodmenLife is seeking a Data Analyst who is passionate about transforming data into meaningful insights that drive business outcomes. This role is highly collaborative and impactful, supporting strategic decision making across the organization by uncovering trends, improving data quality, and delivering actionable recommendations.
 
You’ll work with a modern data stack including Power BI, Snowflake, and Azure technologies while partnering closely with key business areas such as Actuary, Finance, HR, Marketing, and Fraternal teams.
 
This position is ideal for someone who enjoys storytelling with data, solving complex problems, and acting as a trusted advisor to business stakeholders. You’ll have the opportunity to influence how data is used across the enterprise while continuing to grow your technical and analytical skillset.
 
At WoodmenLife, you’ll also benefit from a collaborative team environment, meaningful work that impacts the organization, and opportunities for long-term career growth into senior analytics or data engineering roles.
 
About the Team
 
The Data Analyst is part of Business Technology Data Analytics and collaborates closely with the Data Governance and Data Services teams.This team focuses on ensuring high-quality, trusted data across the enterprise while building reporting, analytics, and insights that support business strategy. The role acts as a bridge between technical data teams and business stakeholders, helping translate data into value.
 
Role Summary
 
The Data Analyst serves as a liaison between Business Technology and business divisions within WoodmenLife, helping the organization better utilize data and data-driven workflows.
 
This role is responsible for analyzing large datasets, building dashboards and reporting solutions, and providing actionable insights that support decision-making. The Data Analyst also promotes best practices in data governance, improves data quality, and helps drive a data-first culture across the organization.
 
What You’ll Do
 
Data Analytics & Insights
 
Analyze large and complex datasets to identify trends, patterns, and opportunities
 
Translate data findings into clear, actionable insights and recommendations
 
Support data-driven decision-making across business units
 
Discover impactful insights critical to organizational success
 
Data Visualization & Reporting
 
Design, develop, and maintain Power BI dashboards and reports
 
Present insights to stakeholders through compelling data storytelling
 
Ensure data accuracy, consistency, and usability across reporting solutions
 
Data Management & Optimization
 
Build and manage datasets for analysis and reporting
 
Identify opportunities to improve product and process efficiency
 
Develop models to test the effectiveness of different business strategies
 
Troubleshoot data issues and resolve business data challenges
 
Collaboration & Stakeholder Engagement
 
Partner with Actuary, Finance, HR, Marketing, and Fraternal teams
 
Act as a trusted advisor for analytics, insights, and data visualization
 
Support ad-hoc analysis requests and strategic initiatives
 
Coordinate with Data Services and reporting teams to operationalize analytics
 
Data Governance & Continuous Improvement
 
Support Data Governance Steering Committee initiatives
 
Advocate for data best practices and improve data quality
 
Work with Data Stewards to ensure consistent and reliable data usage
 
Help foster a data-driven culture across WoodmenLife
 
Tools & Technologies
 
Power BI
 
Snowflake
 
SQL / SQL Server Management Studio (SSMS)
 
Project Management Tools (e.g., Azure DevOps)
 
Microsoft Excel and PowerPoint
 
What You Bring
 
Minimum Qualifications
 
Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, Finance, Business Administration or related field
 
3–5 years of experience as a Data Analyst
 
Experience gathering requirements
 
Strong proficiency in SQL, Power BI (or Tableau), Excel, and PowerPoint
 
Strong analytical, problem-solving, and communication skills
 
Ability to manage multiple projects and meet deadlines
 
Preferred Qualifications
 
Experience in financial services or insurance industry
 
Strong understanding of data governance and data quality practices
 
Scope & Impact
 
Act as a key liaison between technical and business teams
 
Influence decisions through data-driven insights and recommendations
 
Support enterprise-wide initiatives related to data quality, analytics, and reporting
 
Helps shape how WoodmenLife uses data to drive business value
 
Career Growth
 
This role offers opportunities to advance into: 
Senior Data Analyst
 
Data Engineering roles
 
Advanced Analytics or Data Science positions
 
Leadership Insight from the Hiring Manager
 
“My leadership style is hands-off but always available for support. I trust my team to own their work while providing guidance and help when needed.”
 
WoodmenLife offers a competitive compensation package and a comprehensive benefits package. More information about our benefits can be found at: https://www.woodmenlife.org/careers/home-office/benefits/
 
As part of WoodmenLife’s employment process, candidates will be required to complete a criminal background check, credit check (where required for position), fingerprint check (where required for position), drug screen, and reference checks. Any offer of employment will be contingent upon successfully passing the above.
 
WoodmenLife is welcoming to all regardless of background and beliefs. We respect every associate’s unique perspective and contribution. We are committed to creating an environment that values differences and provides opportunities for growth, leadership, and service. This includes providing equal opportunity in recruitment, employment, promotion, training, and community outreach. WoodmenLife is also dedicated to strengthening the communities where our employees live and work.
 
APPLICANTS WITH DISABILITIES SHOULD ADVISE THE HUMAN RESOURCES DEPARTMENT AT THE TIME OF APPLICATION IF SPECIAL ACCOMMODATIONS ARE NEEDED.
 
Woodmen of the World Life Insurance Society (WoodmenLife) is an Equal Opportunity Employer.

Data and Analytics - Data Analyst

DTE Energy Co

Job Overview DTE Energy Co is seeking a meticulous and insightful Data Analyst to join our team. This is a full-time, remote position with a competitive hourly rate of $20 - $35 USD.  As a Detroit-based diversified energy company, DTE Energy is involved in the development and management of energy-related businesses and services nationwide. This role is essential to our mission, as you will be responsible for analysing complex data sets to extract valuable business insights, identify trends, and support strategic decision-making across our organisation. The ideal candidate will be a proactive problem-solver with a passion for turning data into actionable intelligence. Responsibilities As a Data Analyst, your primary duties will include: * Acquiring and interpreting data from various primary and secondary sources. * Developing and implementing data analyses, data collection systems, and other strategies that optimise statistical efficiency and quality. * Identifying, analysing, and interpreting trends or patterns in complex data sets to provide actionable insights. * Cleaning and filtering data to ensure accuracy and integrity before analysis. * Creating data visualisations, dashboards, and reports to communicate findings clearly to management and key stakeholders. * Collaborating with different departments to understand their data needs and provide tailored analytical support. * Working with management to prioritise business and information needs based on data-driven evidence. Qualifications The ideal candidate will possess the following skills and qualifications: * Proven experience working as a Data Analyst or in a similar analytical role. * Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. * Proficiency in writing and executing complex SQL queries. * Experience with data visualisation tools (e.g., Tableau, Power BI) is highly desirable. * Excellent communication and presentation skills, with the ability to explain complex findings to non-technical audiences. * A degree in a relevant field such as Mathematics, Economics, Computer Science, or Statistics is preferred. * Familiarity with the energy sector would be an advantage but is not essential. Benefits In addition to a competitive salary, we offer a supportive and dynamic work environment where you can develop your skills and contribute to a leading company in the energy industry.

Data Analyst - REMOTE

Forsyth Barnes

<div>
 
 
 Position:
 
 Business Analyst x Omni Channel
 
 
 
 Industry:
 
 Consumer
 
 
 
 Contract Length:
 
 6+ months, possibility of extension
 
 
 
 Location:
 
 Phoenix, Arizona
 
 
 
 
 
 
 Overview
 
 
 
 We are supporting a growing retail organisation within the pet products sector that is investing in its data and analytics capability. This is an excellent opportunity for a commercially minded Business Analyst who enjoys working with data, solving operational challenges, and partnering with stakeholders to drive business performance.
 
 
 
 
 
 The successful candidate will work across multiple business functions, translating data into actionable insights that support operational improvements, customer experience enhancements, and revenue growth. This role offers broad exposure across the organisation and the opportunity to influence key strategic initiatives within a fast-paced, consumer-focused environment.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 &bull;
 
 Partner with cross-functional teams including product, operations, sales, and technology to understand business needs and translate them into clear requirements.
 
 
 &bull; Develop and maintain dashboards, reports, and analytical tools that enable stakeholders to monitor performance and make informed decisions.
 
 
 &bull; Conduct data analysis to identify trends, opportunities, and areas for operational improvement, cost reduction, and revenue growth.
 
 
 &bull; Support key business initiatives by delivering actionable insights, impact assessments, and data-driven recommendations.
 
 
 &bull; Assist with process mapping, business case development, and requirements gathering to support strategic projects.
 
 
 
 &bull;
 
 Define and monitor key performance indicators (KPIs) to measure business performance and track progress against objectives.
 
 
 &bull; Present findings and recommendations clearly to both technical and non-technical stakeholders.
 
 
 &bull; Collaborate with teams across the business to improve reporting capabilities and support data-driven decision making.
 
 
 &bull; Deliver both ad hoc analysis and recurring reporting to support business priorities.
 
 
 &bull; Help drive continuous improvement by identifying opportunities to optimise processes and enhance operational effectiveness.
 
 
 
 
 
 
 Key Requirements
 
 
 
 &bull; Bachelor's degree in Business, Analytics, Information Systems, or a related discipline.
 
 
 &bull; 3+ years of experience in a Business Analyst, Data Analyst, or similar analytical role.
 
 
 &bull; Strong experience using SQL and data visualisation tools such as Power BI, Tableau, or similar platforms.
 
 
 &bull; Proven ability to analyse complex data sets and translate findings into practical business recommendations.
 
 
 &bull; Strong stakeholder management and communication skills, with the ability to explain technical concepts to non-technical audiences.
 
 
 &bull; Experience gathering business requirements, supporting projects, and working across multiple departments.
 
 
 &bull; Strong problem-solving skills and a proactive approach to identifying opportunities for improvement.
 
 
 &bull; Previous experience within a retail, consumer goods, or customer-focused environment would be advantageous.
 
 
 
 
 
 If you think you could be a fit for the role please email charley.may@forsythbarnes.com
 
</div>

Business Analyst

Job Title: Remote Data Analyst Company: DTE Energy Co Employment Type: Full-Time Location: Work from Home (UK-based) Salary: £32,000 - £58,000 per annum, dependent on experience Job Overview DTE Energy Co, a leading diversified energy company, is seeking a talented and detail-orientated Remote Data Analyst to join our team on a full-time basis. The successful candidate will be responsible for interpreting complex data and transforming it into actionable insights that drive key business decisions. This is a fully remote position, offering the flexibility to work from home anywhere within the United Kingdom. We are looking for a proactive individual with a passion for data who can work independently and contribute to our organisation's success. About DTE Energy Co DTE Energy (NYSE: DTE) is a Detroit-based, diversified energy company involved in the development and management of energy-related businesses and services nationwide. Its operating units include an electric company serving 2.3 million customers in Southeast Michigan and a natural gas company serving 1.4 million customers in Michigan. The DTE portfolio also includes non-utility businesses focused on industrial energy services, renewable natural gas, and energy marketing and trading. Responsibilities * Collect, interpret, and analyse large, complex data sets using statistical techniques to identify trends and patterns. * Develop and implement databases, data collection systems, and data analytics strategies that optimise statistical efficiency and quality. * Acquire data from primary and secondary data sources and maintain the integrity of our databases and data systems. * Create and present comprehensive reports, dashboards, and data visualisations for management and other stakeholders. * Collaborate with management and various departments to understand and prioritise business and information needs. * Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. * Ensure the quality, accuracy, and timeliness of all data analysis and reporting. Qualifications * Proven experience as a Data Analyst or in a similar analytical role. * Strong technical skills with proficiency in SQL and experience with reporting packages. * Expertise in data models, database design, data mining, and segmentation techniques. * Proficient in using statistical packages for analysing datasets (e.g., Python, R, SPSS). * Experience with data visualisation tools such as Tableau or Power BI is highly advantageous. * Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with excellent attention to detail and accuracy. * A bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics is highly regarded. * Excellent written and verbal communication skills, with the ability to present complex findings clearly and concisely. Benefits * A competitive salary and comprehensive benefits package. * The flexibility of a fully remote working arrangement. * Significant opportunities for professional development and career progression within a large organisation. * A collaborative and supportive international team culture. * Generous annual leave allowance.

Job Title: Remote Data Analyst Company: DTE Energy Co Employment Type: Full-Time Location: Work from Home (United States based) Salary: $32,000 - $58,000 per annum, dependent on experience Job Overview DTE Energy Co, a leading diversified energy company, is seeking a talented and detail-orientated Remote Data Analyst to join our team on a full-time basis. The successful candidate will be responsible for interpreting complex data and transforming it into actionable insights that drive key business decisions. This is a fully remote position, offering the flexibility to work from home anywhere within the United Kingdom. We are looking for a proactive individual with a passion for data who can work independently and contribute to our organisation's success. About DTE Energy Co DTE Energy (NYSE: DTE) is a Detroit-based, diversified energy company involved in the development and management of energy-related businesses and services nationwide. Its operating units include an electric company serving 2.3 million customers in Southeast Michigan and a natural gas company serving 1.4 million customers in Michigan. The DTE portfolio also includes non-utility businesses focused on industrial energy services, renewable natural gas, and energy marketing and trading. Responsibilities * Collect, interpret, and analyse large, complex data sets using statistical techniques to identify trends and patterns. * Develop and implement databases, data collection systems, and data analytics strategies that optimise statistical efficiency and quality. * Acquire data from primary and secondary data sources and maintain the integrity of our databases and data systems. * Create and present comprehensive reports, dashboards, and data visualisations for management and other stakeholders. * Collaborate with management and various departments to understand and prioritise business and information needs. * Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. * Ensure the quality, accuracy, and timeliness of all data analysis and reporting. Qualifications * Proven experience as a Data Analyst or in a similar analytical role. * Strong technical skills with proficiency in SQL and experience with reporting packages. * Expertise in data models, database design, data mining, and segmentation techniques. * Proficient in using statistical packages for analysing datasets (e.g., Python, R, SPSS). * Experience with data visualisation tools such as Tableau or Power BI is highly advantageous. * Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with excellent attention to detail and accuracy. * A bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics is highly regarded. * Excellent written and verbal communication skills, with the ability to present complex findings clearly and concisely. Benefits * A competitive salary and comprehensive benefits package. * The flexibility of a fully remote working arrangement. * Significant opportunities for professional development and career progression within a large organisation. * A collaborative and supportive international team culture. * Generous annual leave allowance.

WFH Data Analyst

Coretek Services

<div>The Business Analyst (Data &amp; AI) serves as the bridge between business stakeholders and technical delivery teams. This role works directly with clients to understand their business objectives, operating models, business processes, challenges, and opportunities for improvement. The Business Analyst identifies where data, analytics, automation, and artificial intelligence can create measurable business value and translates those opportunities into actionable requirements for solution architects, engineers, and developers.
This position requires a strong combination of business acumen, process analysis, stakeholder engagement, and technology awareness. The ideal candidate is naturally curious, asks insightful questions, and enjoys understanding how businesses operate. 
Key Responsibilities
Business Discovery &amp; Process Analysis<ul><li>
Lead workshops, interviews, and discovery sessions with executive, operational, and technical stakeholders.</li><li>
Document current-state business processes, workflows, systems, and decision-making activities.</li><li>
Analyze business operations to identify inefficiencies, bottlenecks, risks, and opportunities for improvement.</li><li>
Develop process maps, workflow diagrams, user journeys, and business capability models.</li><li>
Understand organizational goals, KPIs, and business drivers.</li></ul>
AI &amp; Data Opportunity Identification<ul><li>
Evaluate business processes to identify opportunities for:</li><li><ul><li>
Artificial Intelligence</li><li>
Machine Learning</li><li>
Generative AI</li><li>
Process Automation</li><li>
Data Analytics</li><li>
Predictive Modeling</li><li>
Intelligent Document Processing</li></ul></li><li>
Quantify potential business value, including:</li><li><ul><li>
Cost reduction</li><li>
Productivity gains</li><li>
Revenue growth</li><li>
Risk mitigation</li><li>
Customer experience improvements</li></ul></li><li>
Assist clients in prioritizing use cases based on business impact, feasibility, complexity, and ROI.</li></ul>
Requirements Gathering &amp; Documentation<ul><li>
Gather, document, and validate business, functional, and non-functional requirements.</li><li>
Create user stories, use cases, acceptance criteria, and process documentation.</li><li>
Translate business needs into requirements that can be consumed by data engineers, AI engineers, architects, and developers.</li><li>
Facilitate stakeholder reviews and approval processes.</li></ul>
Client Engagement<ul><li>
Build trusted advisor relationships with client stakeholders.</li><li>
Facilitate workshops ranging from executive strategy discussions to operational process reviews.</li><li>
Present findings, recommendations, and business cases to leadership teams.</li><li>
Help clients understand AI capabilities, limitations, risks, and implementation considerations.</li></ul>
Solution Planning &amp; Delivery Support<ul><li>
Partner with Solution Architects and AI Engineers to align business requirements with technical solutions.</li><li>
Support development teams during solution design and implementation.</li><li>
Participate in testing, validation, and user acceptance activities.</li><li>
Assist with change management, adoption planning, and business readiness activities.</li></ul> 

Requirements 
Required Qualifications<ul><li>
Bachelor's degree in Business, Information Systems, Data Analytics, Operations Management, or related field, or equivalent experience.</li><li>
3&ndash;7 years of experience as a Business Analyst, Process Analyst, Management Consultant, or similar role.</li><li>
Strong experience conducting stakeholder interviews and business process analysis.</li><li>
Experience documenting requirements, workflows, and business processes.</li><li>
Strong communication and presentation skills.</li><li>
Ability to facilitate workshops and lead discovery sessions.</li><li>
Experience working with cross-functional business and technical teams.</li></ul> 
Preferred Qualifications<ul><li>
Experience with Data &amp; Analytics initiatives.</li><li>
Experience with AI, Generative AI, Machine Learning, or Intelligent Automation projects.</li><li>
Knowledge of process improvement methodologies such as Lean, Six Sigma, or Value Stream Mapping.</li><li>
Familiarity with Microsoft Fabric, Azure AI, Power BI, Copilot, Azure OpenAI, or similar platforms.</li><li>
Experience developing business cases and ROI models.</li><li>
Consulting or professional services experience.</li></ul>
Key Skills
Business Skills<ul><li>
Business Process Analysis</li><li>
Requirements Gathering</li><li>
Stakeholder Management</li><li>
Workshop Facilitation</li><li>
Strategic Thinking</li><li>
Business Case Development</li><li>
Change Management</li></ul>
Technical Awareness<ul><li>
Data Analytics</li><li>
AI &amp; Generative AI Concepts</li><li>
Process Automation</li><li>
Data Governance</li><li>
Reporting &amp; Visualization</li><li>
Enterprise Applications</li></ul>
Soft Skills<ul><li>
Curiosity and critical thinking</li><li>
Strong questioning and listening skills</li><li>
Executive presence</li><li>
Problem-solving mindset</li><li>
Relationship building</li><li>
Ability to simplify complex concepts</li></ul> 
Success Metrics
The successful candidate will be measured on:<ul><li>
Number of business discovery engagements completed</li><li>
AI and automation opportunities identified</li><li>
Estimated and realized business value generated</li><li>
Client satisfaction scores</li><li>
Quality and completeness of requirements documentation</li><li>
Adoption and success of delivered AI and data solutions</li><li>
Contribution to pipeline generation and expansion opportunities</li></ul></div>

Business Analyst - Data & AI Practice

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