business intelligence analyst

VigorCare Pediatric Services

<div>We are seeking a highly skilled and motivated Business Analyst to join our team. As a Business Analyst, you will be responsible for analyzing and interpreting data to identify trends, develop insights, and make recommendations to improve business processes and operations. You will work closely with cross-functional teams to gather and analyze data, create reports, and present findings to inform decision making and drive business growth.
Key Responsibilities:<ul><li>Conduct data analysis to identify trends, patterns, and insights to support business decision making</li><li>Develop and maintain reports, dashboards, and other data visualizations to track key performance metrics</li><li>Identify areas for process improvement and make recommendations to optimize business operations</li><li>Communicate findings and insights to stakeholders through presentations and reports</li><li>Participate in project planning and implementation to support business initiatives</li><li>Stay updated on industry trends and best practices to continuously improve data analysis techniques and tools</li></ul>
Qualifications:<ul><li>Strong analytical skills with the ability to interpret complex data sets</li><li>Proficient in data analysis tools and techniques, such as SQL, Excel, and Tableau</li><li>Excellent communication and presentation skills</li><li>Ability to work independently and collaboratively in a fast-paced environment</li></ul></div>

Business Analyst

Nova Infotek

<div>
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 We are supporting a large-scale enterprise analytics initiative for a leading Fortune 100 Supply Chain organization.
 
 
 
 
 
 
 Employment Type: Full-time
 
 only, no Employer profile
 
 
 
 
 
 
 Work Authorization:
 
 H4EAD, GC, GC-EAD, OPT/STEM OPT, CPT
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 We are seeking 3 Entry-Level Data Analysts to join a growing analytics team responsible for supporting operational reporting, business intelligence, KPI measurement, and data-driven decision-making across multiple business functions. This role is ideal for candidates looking to build hands-on experience working with enterprise-scale datasets, SQL-based analysis, reporting automation, dashboard development, and stakeholder-facing analytics.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Analyze structured business and operational datasets to identify trends, anomalies, performance drivers, and improvement opportunities.
 </li>
 <li>
 Develop, maintain, and enhance recurring reports, dashboards, and KPI scorecards used by business and operational stakeholders.
 </li>
 <li>
 Write and optimize SQL queries for data extraction, aggregation, validation, and reporting purposes.
 </li>
 <li>
 Perform data profiling, data quality checks, and reconciliation activities to ensure reporting accuracy and consistency.
 </li>
 <li>
 Support root-cause analysis and ad hoc analytical requests using enterprise data sources.
 </li>
 <li>
 Assist in the design and maintenance of reporting datasets and business metrics.
 </li>
 <li>
 Translate business requirements into analytical outputs and reporting solutions.
 </li>
 <li>
 Collaborate with cross-functional teams including Operations, Finance, Product, Supply Chain, Engineering, and Business Intelligence teams.
 </li>
 <li>
 Document data definitions, business rules, KPI calculations, and reporting methodologies.
 </li>
 <li>
 Support ongoing reporting automation and analytics process improvement initiatives.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, Economics, Engineering, Information Systems, or a related quantitative discipline.
 </li>
 <li>
 0-2 years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical functions (internships, research projects, and academic experience will be considered).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Strong working knowledge of SQL, including Joins, Aggregations, Subqueries, Window Functions and Data Filtering and Transformation.
 </li>
 <li>
 Advanced proficiency in Microsoft Excel, including Pivot Tables, Lookup Functions, Data Validation, and Analytical Modeling.
 </li>
 <li>
 Strong understanding of data analysis methodologies and problem-solving techniques.
 </li>
 <li>
 Ability to interpret complex datasets and communicate findings effectively to technical and non-technical stakeholders.
 </li>
 <li>
 Strong attention to detail and commitment to data accuracy.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Experience with business intelligence and visualization tools such as Power BI, Tableau, or Looker.
 </li>
 <li>
 Exposure to Python, Pandas, NumPy, or similar analytical tools.
 </li>
 <li>
 Familiarity with relational databases, data warehousing concepts, and enterprise reporting environments.
 </li>
 <li>
 Understanding of data governance, data quality management, and KPI development.
 </li>
 <li>
 Exposure to cloud-based analytics environments such as AWS, Azure, or GCP.
 </li>
 <li>
 Knowledge of operational analytics, supply chain analytics, manufacturing analytics, customer analytics, or business performance reporting.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Pay range and compensation package
 
 
 
 
 
 
 
 
 
 Contract Duration: 18-24 Months (Extendable) Headcount: 3 Openings
 
 
 
 
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 
 
 
 
 
 
 We are committed to diversity and inclusivity.
 
 
 
</div>

Entry-Level Data Analyst

The Home Depot

<div>Position Purpose:
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. 
Key Responsibilities:<ul><li>
70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to manager or above</li><li>
This position has 0 direct reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
3+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience running queries against data (preferably with Google BigQuery or SQL)</li><li>
Experience in predictive modeling, data mining and data analysis</li><li>
Experience with data visualization software (preferably Tableau)</li><li>
Experience utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Basic knowledge or exposure to predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
0</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Associate Data Scientist

Position Purpose: The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. Key Responsibilities: 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals 15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented Direct Manager/Direct Reports: This position typically reports to Manager or above This position has 0 Direct Reports Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 4+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Proficient running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Proficient utilizing statistical techniques to identify key insights that help solve business problems Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated experience in predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Data Scientist - Network Strategy

Position Purpose: The Sr. Analyst, Pricing will support the efforts to provide subject matter expertise, project management, and analytical support to the development and execution of Pricing Strategies. The Sr. Analyst will perform analysis of data, build presentations, and will solve business questions using their insights, analytics, and judgement. The Sr. Analyst will work with cross functional partners, including marketing, ops, strategy and others to ensure end to end thinking on strategy and execution. The Sr. Analyst will also support merchants directly by helping them understand their business, test pricing strategies, and helping them achieve their objectives. Key Responsibilities: 50% Design, implement and measure pricing actions to understand the trade-off between units, sales and gross margin. Utilize learnings to help merchants reach financial objectives 20% Conduct research to become subject matter expert on a specific segment of pricing and statistical analysis 10% Work across the organization and leverage cross functional teams to provide expert analytical support (i.e. domestic logistics or global supply chain costs 20% Develop and deliver influential presentations that summarize complex analyses and drive effective business decisions Direct Manager/Direct Reports: This position reports to Manager. This position has 0 direct reports. Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: SQL and Tableau Master's degree in a quatitative field - Statistics, Supply Chain, Engineering, Operations, Finance or other Understanding of retail pricing Innate intellectual curiosity Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 2 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Ability to learn very quickly and independently Business acumen Proven ability to analyze, evaluate and interpret complex data Strong communication skills: verbal and written Proficient with PowerPoint, Excel, Access and other statistical software or pricing packages (i.e. SAS, Minitab, DemandTec) Ability to build relationships and work cross functionally with business partners

Sr Analyst, Pricing Analytics

Position Purpose: The Data Science Sr. Manager is responsible for leading a team of data scientists, technical experts, and people leaders focused on improving customer and delivery experiences through AI, machine learning and agentic solutions. This role is accountable for identifying, developing, and scaling intelligence-driven capabilities that proactively prevent customer issues, improve resolution experiences, optimize operational outcomes, and create measurable business value. This leader will partner closely with Product, Engineering, Analytics, Operations, and Customer Experience teams to translate business opportunities into scalable data science and AI solutions. Areas of focus may include proactive issue prevention, customer journey optimization, conversational AI, intelligent decisioning, delivery experience, and agentic workflows that drive both customer satisfaction and operational efficiency. This role is expected to identify new opportunities, shape strategic roadmaps, influence senior leaders, and communicate complex technical concepts to both technical and non-technical audiences. Additionally, this leader will collaborate across Data Science teams to align strategies, share best practices, and develop talent. Success in this role requires strong business acumen, technical depth, cross-functional leadership, relationship building, and the ability to connect data science investments to meaningful customer and business outcomes. Key Responsibilities: 50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments 15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs 25% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management 10% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position reports to Director or above This position has Direct Reports and manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Demonstrated proficiency in predictive modeling, data mining and data analysis Proficient managing and growing team members in a professional setting Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting Demonstrated experience with translating high level strategy to tactical execution Preferred Qualifications: 10+ years of experience in data science, machine learning, AI, business intelligence, and analytics Previous people leadership or project team management experience Experience designing and operationalizing AI, machine learning, or intelligent decisioning solutions that drive customer, operational, or business outcomes Mastery running queries against large-scale datasets (preferably with SQL) Experience working with structured and unstructured data, including customer interactions, conversational data, text, or other customer experience signals Proficient in advanced AI and prescriptive modeling techniques such as optimization, generative AI, agentic workflows, or intelligent automation Strong ability to communicate technical concepts and business value to both technical and non-technical audiences Experience partnering with Product, Engineering and Business stakeholders to develop and scale data science solutions Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 10 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Senior Manager, CX and Delivery Data Science

Delta Air Lines

<div><div><div><div><div>United States, Georgia, Atlanta
Airport Customer Service
08-Jun-2026
Ref #: 32820
</div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">How you'll help us Keep Climbing (overview &amp; key responsibilities)</h3>
</div></div><div>At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience.
As a vital team member, you will be responsible for reporting on product performance and identifying opportunities for improvement across the product suite, as well as within our business processes and technologies. Leveraging the data, insights, and reporting you generate, you will help inform decisions around product deployment through data-driven and automated testing, and support ongoing refinement once products are in market. Additionally, you will contribute to the development and implementation of new strategies and optimization opportunities&mdash;including automation and artificial intelligence&mdash;guided by the insights you deliver.
Objectives of this role
<ul><li>Measuring, analyzing, reporting and forecasting product performance in support of Product development team and the Product Portfolio</li>
<li>Contributing to development of the product across the product lifecycle from inception to through deployment inclusive of product testing</li>
<li>Documenting and surfacing business processes that impact the performance of the product and recommending optimization as appropriate inclusive of automation and AI</li>
<li>Using advanced analytics techniques to contribute to Product decisions and recommendations</li>
<li>Collaboration with Product Team, IT and other key stakeholders for maximum data, reporting and analytics delivery</li>
</ul>Key Responsibilities
<ul><li>Build and maintain operational reporting inclusive of dashboards in support of Product Team
</li><li>Pull, clean, reconcile, and validate data from multiple sources to ensure reporting accuracy</li>
<li>Produce recurring reporting on adoption, usage, reliability, performance, and value realization and forecast future performance</li>
<li>Monitor data quality and proactively identify anomalies, inconsistencies, or metric drift</li>
<li>Conduct ad hoc analyses to inform prioritization, investment decisions, and post-incident reviews</li>
<li>Maintain metric definitions, data sources, and documentation to ensure consistency across teams</li>
<li>Document reporting and analytics requirements</li>
<li>Translate analytical findings into insights for business stakeholders</li>
<li>Support experimentation tracking and impact measurement efforts across Products</li>
<li>Identify current-state workflows, decision points, and operational pain points that may impact Product performance with an eye toward automation, AI and removal of &ldquo;waste&rdquo; in the system</li>
<li>Contribute to documentation of requirements elicitation and interviews to gather for product reporting</li>
<li>Evaluate and analyze tools and technologies to assess effectiveness and identify enhancement opportunities</li>
<li>Deliver presentations of findings and insights to cross-functional and enterprise-level stakeholders</li> 
</ul> 
 
</div></div></div><div><div><div><div><h3 class="jobSectionHeader">Benefits and Perks to Help You Keep Climbing</h3>
</div></div><div><div>Our culture is rooted in a shared dedication to living our values &ndash; Care, Integrity, Resilience, Servant Leadership, and Teamwork &ndash; every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way:
<ul><li>Competitive salary, industry-leading proﬁt sharing program, and performance incentives
</li><li>401(k) with generous company contributions up to 9%
</li><li>Paid time off including vacation, holidays, paid personal time, maternity and parental leave</li>
<li>Comprehensive health beneﬁts including medical, dental, vision, short/long term disability and life beneﬁts</li>
<li>Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages</li>
<li>Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health
</li><li>Domestic and International space-available flight privileges for employees and eligible family members</li>
<li>Career development programs to achieve your long-term career goals
</li><li>World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint</li>
<li>Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies</li>
<li>Recognition rewards and awards through the platform Unstoppable Together</li>
<li>Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare</li> 
</ul> 
</div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">What you need to succeed (minimum qualifications)</h3>
</div></div><div><ul><li>Strong data and analytics and reporting skills with the ability to collect, study and interpret complex data</li>
<li>3 years experience data analysis and data visualization and reporting (dashboards)</li>
<li>2 years of experience in business process analysis
</li><li>Proficiency in Microsoft Office suite, including Excel, PowerPoint and Visio.</li>
<li>Proficiency in data tools such as: Power BI, Tableau, SQL, and SAS</li>
<li>Ability to use advanced analytics techniques (e.g., statistical analysis, regression, simulation, optimization, and machine learning) inclusive of automation and AI to contribute to product analysis and forecasting
</li><li>Ability to manage and perform multiple complex tasks as part of the daily work assignment</li>
<li>Ability to effectively communicate data, insights and process changes and recommendations to stakeholders
</li><li>Consistently prioritizes safety and security of self, others, and personal data.</li>
<li>Embraces diverse people, thinking, and styles.</li>
<li>Possesses a high school diploma, GED, or high school equivalency.</li>
<li>Is at least 18 years of age and has authorization to work in the United States.</li>
</ul></div></div></div><div><div><div><div><h3 class="jobSectionHeader">What will give you a competitive edge (preferred qualifications)</h3>
</div></div><div><ul><li>Bachelor&rsquo;s degree in Computer Science, Decision Science, Mathematics or a related field.</li>
<li>Lean Six Sigma Certification</li></ul></div></div></div></div><div></div>

Sr. Product Operations Analyst, ACS Tools and Technology

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