data analyst

CharterUP

<div>
 
 About CharterUP.
 
 CharterUP is transforming the $450+ billion group transportation and mobility market with an AI native platform that powers modern charter, shuttle, and emerging autonomous vehicle operations. Trusted by many Fortune 500 companies, CharterUP connects enterprises, institutions, and event organizers to thousands of bus operators nationwide, while increasingly serving as the operating system for large scale shuttle and transit programs across airports, campuses, industrial sites, and major events.
 
 
 Through real time availability, transparent pricing, intelligent routing, and AI driven dispatch and optimization, CharterUP replaces a fragmented and opaque industry with automation, accountability, and scale.
 
 
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Innovative Impact: Be part of the team that's revolutionizing group travel, setting new standards in an industry overdue for change.
 </li>
 <li>
 Growth Opportunities: As a hyper growth company and one of the fastest-growing companies recognized by Inc., there&rsquo;s no better time to join our dynamic, growth-stage organization.
 </li>
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 Driven Team: Collaborate with some of the most driven minds in tech, all while working in a remote-first environment with a tech hub in Austin, TX.
 </li>
 <li>
 Funding and Stability: Our $60 million Series A funding was just the start&mdash;we&rsquo;re poised for even greater expansion, and you can be part of this exciting journey. CharterUp has achieved this growth profitability and efficiently, ensuring long-term stability.
 
 
 </li>
 </ul>
 
 Title:
 
 Data Analyst
 
 
 
 Reports to:
 
 Head of Business Intelligence, Finance and Accounting
 
 
 
 Location:
 
 Austin, TX. (Hybrid: Monday, Wednesday, Friday in-office); Open to considering Atlanta, GA or Denver, CO.
 
 
 
 About The Role
 
 
 
 CharterUP is seeking an early career
 
 Data Analyst
 
 to join our Finance BI team, someone eager to tackle data challenges and assist in meeting the reporting and analytics needs of teams throughout the organization. This role&rsquo;s deliverables will have a high impact, with visibility to leadership.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and organize large datasets from multiple sources (e.g., databases, APIs, spreadsheets) for both one-off data requests and recurring reports.
 </li>
 <li>
 Perform data analysis to identify trends, patterns, and insights that will guide business strategy and decision-making.
 </li>
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 Develop and maintain dashboards and reports to track key business metrics.
 </li>
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 Collaborate with cross-functional teams to support data-driven projects and initiatives.
 </li>
 <li>
 Conduct statistical analysis and model data to predict future trends and performance.
 </li>
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 Present findings, recommendations, and insights in a clear and concise manner to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Experience And Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s and Master's degrees. Masters must be in one of the following fields: Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering
 </li>
 <li>
 1+ years industry experience as Data Analyst
 </li>
 <li>
 Proficiency in SQL, Python or equivalent
 </li>
 <li>
 Proficiency in Excel/Google Sheets
 </li>
 <li>
 Strong knowledge of data visualization tools like Tableau, Power BI, or similar platforms is a plus.
 </li>
 <li>
 Familiarity with any of the following is a plus: Redshift or Snowflake, dbt, Fivetran, Salesforce and tools like 6sense.
 </li>
 <li>
 Experience with data manipulation, cleaning, and transformation techniques.
 </li>
 <li>
 Strong communication skills with the ability to present data insights to diverse audiences.
 </li>
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 Ability to work independently and manage multiple tasks.
 
 
 </li>
 </ul>
 
 Recruiting Process
 
 
 
 <ul>
 <li>
 Step 1 - Wonderlic Assessment
 </li>
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 Step 2 - Video call: Talent Acquisition interview
 </li>
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 Step 3 - Video call: Interview with Head of BI - Finance
 </li>
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 Step 4 - Video call: Team interview
 </li>
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 Step 5 - Video call: Final Interview with CFO
 </li>
 <li>
 Step 6 - Offer &amp; Background check
 </li>
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 Welcome aboard!
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 $70,000 - $75,000 base salary
 </li>
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 Comprehensive benefits package, including fully subsidized medical benefits for the employee
 </li>
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 401(k) plan
 
 
 </li>
 </ul>
 Salary: $70,000 USD - $75,000 USD
 
 
 Global Benefits &amp; Perks at CharterUP
 
 
 We believe great people can live anywhere&mdash;and they deserve great benefits, too. While offerings may vary slightly by location, we prioritize hiring near our hubs in Austin, Atlanta, Miami, and Denver as we grow our global team.
 
 
 <ul>
 <li>
 Flexible Work Model: CharterUP operates as a remote-first company, with select roles requiring regular, in-office presence based on team and business needs. Role-specific expectations will be shared during the hiring process. U.S.-based employees may reside in any of our 19 approved states.
 </li>
 <li>
 Comprehensive Health &amp; Wellness: Medical, dental, and vision insurance, mental health support, virtual care, gym discounts, and family-building benefits. In the U.S., we cover 100% of premiums for employees. International benefits align with local standards.
 </li>
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 Time Off to Recharge: Paid time off so you can truly unplug. U.S.: 15 PTO days (increasing to 20 after 2 years) + 8 paid holidays. International policies vary by country.
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 Financial Peace of Mind: Company-paid life, short-term, and long-term disability insurance where available.
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 Performance-Driven Culture: Join a fast-moving, ambitious, and collaborative team that wins together.
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 Referral Rewards: Earn bonuses for bringing top talent to the team.
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 Planning for the Future: Long-term financial planning support. U.S.: 401(k) plan. International: region-specific savings programs where applicable.
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 Top-Tier Tech: Choose a Mac or PC, plus monitor, keyboard, and mouse to hit the ground running.
 
 
 </li>
 </ul>
 
 
 CharterUP is an Equal Opportunity Employer.
 
 
 
 We are committed to creating an inclusive, accessible, and respectful workplace. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, ancestry, disability, medical condition, marital status, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws in the United States and Canada. If you require accommodation during the recruitment process, please let us know. CharterUP is committed to providing reasonable accommodations during the hiring process. If you need assistance or an accommodation, please contact your recruiter.
 
 
 
 
 
 Hiring Locations:
 
 CharterUP U.S.-based candidates and employees must reside in one of the following states: Arizona, California, Colorado, Florida, Georgia, Hawaii, Mississippi, Missouri, North Carolina, New Hampshire, Nevada, New York, Oklahoma, South Dakota, Tennessee, Texas, Utah, Washington, and Wyoming.
 
 
 
 We hire in the U.S. and Canada and are actively expanding our global footprint.
</div>

Data Analyst

Careerscape

<div>
 
 
 About the Role
 
 
 
 We are supporting our client on a search for a Junior Data Analyst in Atlanta on a hybrid schedule (3 days in-office). This is the seat where you learn to turn raw data into decisions. You will write SQL every day, build and own dashboards, and get exposure to product, marketing, and finance questions from the jump.
 
 
 
 
 
 
 Compensation
 
 
 
 $60,000 &ndash; $75,000 per year, depending on experience.
 
 
 
 
 
 
 What You Will Do
 
 
 
 - Write SQL to pull, clean, and QA data across product, marketing, and finance sources
 
 
 - Build and maintain dashboards in Looker, Tableau, Mode, or Metabase
 
 
 - Turn recurring stakeholder questions into repeatable, self-serve views
 
 
 - Investigate anomalies in KPIs and share findings with clear commentary
 
 
 - Partner with senior analysts on A/B test analysis and cohort work
 
 
 - Document data definitions so the org trusts what it sees
 
 
 
 
 
 
 What You Bring
 
 
 
 - 0-2 years of analytics, business intelligence, or heavy-Excel experience
 
 
 - Working SQL (joins, aggregations, window functions - you can pass a screen)
 
 
 - Comfort with a BI tool (Looker, Tableau, Mode, Sigma, Metabase, Power BI)
 
 
 - Strong written communication - can turn a query result into a two-sentence takeaway
 
 
 - Bachelors in stats, econ, math, CS, or equivalent hands-on experience
 
 
 - Bonus: Python/pandas, dbt exposure
 
 
 
 
 
 
 Benefits
 
 
 
 - Hybrid in Atlanta - 3 days in-office
 
 
 - Medical, dental, vision
 
 
 - 401(k) with match
 
 
 - Unlimited PTO
 
 
 - Learning stipend for SQL/analytics courses
 
 
 - Clear path into senior analyst or analytics engineer
 
</div>

Junior Data Analyst

Prestige Staffing

<div>
 
 Senior Data Analyst &ndash; Forecasting &amp; Yield Optimization
 
 
 
 
 Pay
 
 
 
 $125,000 - $160,000 annually, dependent on experience and location
 
 
 
 Location
 
 
 
 New York City, or Atlanta
 
 
 
 Summary
 
 
 
 We are seeking an experienced Senior Data Analyst with 5&ndash;8 years of expertise in forecasting and yield management to develop models that maximize performance across our publisher network. This role involves predicting attribution outcomes, optimizing inventory yield, and delivering actionable insights through advanced analytics and visualization tools. The ideal candidate will collaborate with cross-functional teams to embed models into the platform, contributing directly to revenue growth and operational efficiency in the hospitality and travel adtech space.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 5&ndash;8 years of professional experience in data science, forecasting, or yield management
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 Expertise in time series forecasting techniques (ARIMA, Prophet, Neural Networks) and optimization algorithms
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 Proficiency in SQL, Python and/or R for data analysis and modeling
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 Experience integrating large datasets from multiple sources, including attribution and performance metrics
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 Strong communication skills to translate technical outcomes into business impact
 </li>
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 Ability to partner effectively with product, engineering, and business teams
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and refine forecasting models to predict attribution outcomes by hotel, publisher, and time period
 </li>
 <li>
 Build yield optimization frameworks to allocate publisher inventory efficiently and maximize client ROI
 </li>
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 Integrate data from attribution, publisher metrics, seasonality, and external signals for comprehensive analysis
 </li>
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 Deliver reporting and insights to guide decision-making across teams
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 Create dashboards and visualizations to present data findings clearly to non-technical stakeholders
 </li>
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 Collaborate with product and engineering teams to embed models into the platform for scalable deployment
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and equity options
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 Comprehensive medical, dental, and disability insurance
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 401(k) match up to 4%
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 Hybrid work environment with flexible scheduling
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 15 personal days plus 10+ public holidays
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 Monthly health and wellness stipend
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 Casual, collaborative, and dog-friendly office culture in the heart of Flatiron or remote work options
 
 
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 </ul>
 #Dice #ZR-Pro
 
 
</div>

Sr Data Analyst

North Texas Custom Roofing and Construction Management

Job Overview North Texas Custom Roofing and Construction Management, a company that specialises in providing thorough, long-lasting, and environmentally friendly roofing solutions, is seeking a meticulous and driven Business Analyst to join our team. This is a full-time position based in Atlanta, Georgia, United States. The successful candidate will play a crucial role in analysing our business processes, identifying opportunities for improvement, and driving strategic initiatives to enhance efficiency and support our company's growth. We are offering a competitive hourly rate of $35.00 - $55.00 USD. Responsibilities * Analyse and document current business processes across various departments, including sales, project management, and customer service. * Collaborate with stakeholders to gather, define, and formalise business requirements for new projects and system enhancements. * Translate business needs into clear and concise functional specifications for technical teams. * Develop and maintain reports and dashboards to monitor key performance indicators (KPIs) and provide actionable insights to management. * Identify and evaluate opportunities for process optimisation, automation, and operational improvements within the construction and roofing workflow. * Facilitate workshops and meetings with cross-functional teams to ensure alignment and clear communication. * Support the implementation of new business systems and processes, including user acceptance testing and training. * Conduct data analysis to support strategic planning and decision-making. Qualifications * Proven experience working as a Business Analyst or in a similar analytical role. * A bachelor's degree in Business Administration, Finance, Information Technology, or a related discipline. * Exceptional analytical and problem-solving skills with a keen eye for detail. * Strong verbal and written communication skills, with the ability to effectively engage with both technical and non-technical stakeholders. * Proficiency in business process modelling and requirements gathering techniques. * Advanced skills in Microsoft Excel and experience with data visualisation tools such as Power BI or Tableau. * A solid understanding of project management principles and methodologies. * Experience in the construction, roofing, or a related service industry would be highly advantageous but is not essential. * A self-starter with the ability to manage multiple priorities and work independently in a fast-paced environment.

Business Analyst

Atlanta Community Food Bank

<div>This position works a hybrid schedule at our east point location 
Who We Are:
The Atlanta Community Food Bank is committed to ending hunger in our community by leveraging food, dedicated people, and innovative solutions to ensure that no one has to worry about their next meal. Since 1979, we&rsquo;ve provided vital resources to a growing network of nonprofit partners, including food pantries, community kitchens, childcare centers, night shelters, and senior centers. Today, we proudly serve over 700 partners across 29 counties in metro Atlanta and north Georgia, working together to create a hunger-free future.
Where You&rsquo;ll Work:
Business Intelligence and Analytics / Information &amp; Technology
About the Role:
As the Senior Manager, Data Products &amp; Analytics, you'll lead the strategy, development, and delivery of data products that help the Atlanta Community Food Bank make smarter decisions and increase our impact across Georgia. In this role, you'll partner with leaders across the organization to transform complex data into meaningful insights, modernize our analytics capabilities, and build scalable solutions that empower teams to make informed decisions. You'll also help advance the responsible use of artificial intelligence and emerging technologies, identifying opportunities to apply these capabilities to improve decision-making, increase efficiency, and extend the impact of our work.
You'll lead a team responsible for delivering trusted data, meaningful insights, and innovative analytics solutions that support the Food Bank's strategic priorities. By partnering with teams across the organization, you'll help transform data into actionable information that improves operations, strengthens decision-making, and advances our mission to end hunger.
What You&rsquo;ll Do:
 Execute Data Strategy: 
<ul><li>
Lead or co-lead workstreams in the development and maintenance of the Food Bank&rsquo;s data systems, including a data lakehouse analytics environment. Ensure data is organized, accessible, and optimized for analysis and reporting in alignment with organizational goals.</li><li>
Design and manage semantic models that unify business definitions, enable consistent reporting, and support governed self-service analytics across the organization.</li><li>
Develop and optimize DAX calculations (measures, time intelligence, row-level security) to deliver accurate, performant insights for dashboards, scorecards, and ad-hoc analysis.</li><li>
Facilitate data governance initiatives by engaging stakeholders across domains to define metrics, maintain data quality, and align on standards and access controls.</li><li>
Partner with the Information Architect to advance the Food Bank&rsquo;s enterprise data platform, including data architecture, integrations, governance, and semantic modeling capabilities.
</li><li>Collaborate with the Information Architect to ensure data products and analytics solutions align with enterprise architecture standards and long-term technology strategy.
</li><li>Lead the maturation of ACFB's data product operating model, establishing domain ownership, shared governance, and self-service analytics capabilities that align with data mesh principles.
 </li></ul>Data Products:<ul><li>
Oversee the development and lifecycle management of data products that support ACFB processes, decisions, and strategic priorities.
</li><li>Manage solutions built in Power BI, Azure, Power Platform, and Microsoft Fabric, ensuring clear documentation, stakeholder alignment, and actionable design.
</li><li>Oversee the administration and adoption of the PolicyMap environment, ensuring stakeholders have access to geographic, demographic, and community data that informs strategic decision-making and program effectiveness.
</li><li>Identify and implement automation opportunities using low-code tools, cloud services, and scripting to increase efficiency and reduce manual work.</li></ul>
 Analytics:<ul><li>
Perform and oversee analyses that explore data in business context, applying statistical techniques, performance metrics, and visualization to uncover insights.</li><li>
Lead performance management reporting and help stakeholders track key KPIs and operational benchmarks.
</li><li>Promote strong problem-solving frameworks, incorporating both exploratory analysis and structured diagnostic approaches.</li><li>
Communicate complex findings to diverse audiences through compelling storytelling, strong visualization, and consultative dialogue.</li><li>
Build trusted relationships across Food Bank departments, fostering a culture of curiosity, data fluency, and continuous improvement.
</li></ul>Leads a Successful Team:<ul><li>
Execute department strategy by translating goals and initiatives into actionable plans for the team.</li><li>
Lead, coach, and develop a high performing team of data analysts. Ensure team members are productive, engaged, and meet performance expectations.</li><li>
Provide hands-on support to team members, guiding them through challenges and offering real-time coaching and feedback.</li><li>
Monitor and evaluate team performance, implementing improvement plans and ensuring adherence to organizational standards.</li><li>
Facilitate communication between staff and upper management, ensuring clarity on expectations, priorities, and progress.</li><li>
Support hiring, onboarding, and training of new team members, ensuring they are equipped to perform their roles effectively.</li><li>
Foster a positive team environment, promoting collaboration, accountability, and strong morale within the department.
</li><li>Track and report team metrics to department leadership, identifying areas for improvement and success in meeting goals.</li></ul>
Key Competencies we look for in All our Food Bankers are:<ul><li>
Customer Focus</li><li>
Decision Making</li><li>
Accountability</li><li>
The Ability to Navigate Change</li></ul>
If you&rsquo;re excited about this role and can clearly demonstrate these and the other skills named below, we encourage you to apply. You may be just the right candidate for this or other roles!
 Skills your resume should demonstrate:<ul><li>
Demonstrated experience in analytics, data strategy, computer science or business intelligence.
</li><li>Strong command of Microsoft Azure ecosystem (Data Factory, Integration Services, Synapse, Fabric).</li><li>
Familiarity with supply chain or distribution business environments
</li><li>Demonstrated experience developing Power BI reports, managing semantic models, and automating data workflows.</li><li>
Working knowledge of geospatial tools such as ArcGIS and their integration into business intelligence use cases.
</li><li>Proven ability to translate business needs into scalable data solutions and insights.</li><li>
Excellent communication, facilitation, and relationship-building skills.</li><li>
Possess good working knowledge with Python, SQL, and PowerApps
</li><li>Team leadership or mentoring experience.</li></ul>
There may be some Physical Demands and Travel:
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<ul><li>
Employee is routinely required to lift 25 lbs.</li><li>
Expected local travel time for this position is up to 10% per year</li></ul></div>

Senior Manager, Data Products & Analytics

The Home Depot

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: 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 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 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 Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. 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: Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 3+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience in predictive modeling, data mining and data analysis Experience with data visualization software (preferably Tableau) Experience utilizing statistical techniques to identify key insights that help solve business problems Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Basic knowledge or exposure to 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: 0 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

Associate Data Scientist - Decision Analytics

Deloitte

<div>Our Deloitte Strategy &amp; Transactions (S&amp;T) team helps guide clients through their most critical moments and transformational initiatives. We offer comprehensive end-to-end support and advisory services, covering areas such as valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&amp;A), and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions creating lasting impact. 
 
Are you interested in working with clients to guide them through some of their biggest decisions? If so, this is your opportunity to join our dedicated team of financial modelers and advisors. 
 
Our Modeling &amp; Insights (M&amp;I) team, a practice within our Valuation &amp; Modeling practice, delivers clients the confidence to act on strategic decisions by transforming complexity into clarity through financial expertise, modeling tools, and strategic insight. We focus on market-leading decision support services in the context of transactions, business planning, and operational assessments. You will have the opportunity to work with some of the largest clients and gain exposure to a range of industries and business situations. 
 
Recruiting for this role ends on 07/17/2026. 
 
Work you'll do
 
 
As a Consultant on the Modeling and Insights team, you will be responsible for:
 
<ul><li>Taking a lead role in supporting clients throughout decision-making processes
</li><li>Developing and delivering financial models and supporting analyses for transactions, strategic business planning, and operational decision-making
</li><li>Working with Deloitte's Apex Platform to integrate financial models with enterprise data and technology solutions, including enterprise resource planning (ERP) systems, databases, visualization platforms, and analytical tools, to generate data-driven financial insights
</li><li>Applying artificial intelligence (AI) capabilities in financial modeling and financial advisory work under the guidance of project leadership
</li><li>Using technical and commercial knowledge to analyze data, interpret model outputs, and help communicate actionable insights to clients and internal teams
</li><li>Supporting the development of scalable, reusable financial solutions for scenario analysis, sensitivity testing, and long-term planning; coordinating with Deloitte subject matter specialists across tax, valuation, accounting, consulting, regulatory, and business functions; and supporting business development activities for the Modeling &amp; Insights Practice
</li></ul> 
A successful candidate would possess these skills:
 
<ul><li>Ability to work independently and collaborate as part of a team
</li><li>Effective written and verbal communication skills
</li><li>Meticulous attention to detail and quality of work product
</li><li>Ability to build and sustain professional relationships
</li><li>Ability to lead projects or workstreams
</li><li>Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
</li><li>Strong interpersonal skills and professional demeanor
</li><li>Ability to meet deadlines
</li>Ability to provide clear guidance to others 
<li>
</li></ul> 
 
The team
 
Our Valuation &amp; Modeling team provides financial modeling for business planning, transactions, and operational improvements. We conduct valuation for tax purposes, regulatory compliance, mergers and acquisitions (M&amp;A), litigation, bankruptcy, and risk management. Additionally, we support audit processes with fair value measurements. 
 
Qualifications Required:
 
<ul><li>Bachelor's degree in accounting, finance, or another business majors
</li><li>1+ years of financial analysis experience
</li><li>2+ years of experience working for a Consulting Firm or equivalent industry experience specifically working in data and financial modeling, strategic planning, managing client relationships, creating, and delivering client service work that exceeds client expectations, communicating (both written and oral) and presenting complex technical issues to non-technical staff
</li><li>1+ years of experience in Power BI, Tableau, VBA, Python, SQL, or similar tools to build finance-led models and analytics
</li><li>Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve
</li></ul> 
<ul><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future</li></ul> 

Preferred:
 
Progress toward CPA, CFA, or other equivalent designation 
<ul><li>
</li></ul> 
 
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,300 to $207,800. 
 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

Financial Modeling & Data Analytics Consultant

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