senior data engineer

associate applied data scientist Jobs in Atlanta

associate applied data scientist

associate data analyst

associate data scientist

associate data scientist, marketing Jobs in Atlanta

associate data scientist, marketing

business data scientist

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, Marketing

NAVA TECH LLC

Launch Your Career in Data Science. Are you passionate about data, analytics, and artificial intelligence but haven't yet had the opportunity to work as a Data Scientist? We are looking for ambitious technical professionals with a strong foundation in programming, problem-solving, and analytical thinking who are ready to transition into a Data Science career. Whether your background is in Software Development, Data Analytics, AI Engineering, Quality Assurance, Business Intelligence, or another technical field, this opportunity is designed to help you develop the skills and real-world experience needed to become a successful Data Scientist. Join our growing consulting practice and gain hands-on experience working on enterprise-level projects for Fortune 1000 organizations across industries such as Finance, Healthcare, Retail, Telecommunications, and Technology.About the RoleThis role is ideal for candidates who:<ul><li>Have a strong technical foundation</li><li>Know how to write code and solve problems</li><li>Have experience working in IT, software development, analytics, or related fields</li><li>Want to transition into Data Science</li><li>Are eager to learn Machine Learning, Artificial Intelligence, Big Data, and Cloud Technologies</li><li>Are you looking for a long-term career path with significant growth potential</li></ul>ResponsibilitiesThrough hands-on project experience and mentorship, you'll gain exposure to:<ul><li>Data Science Methodologies</li><li>Machine Learning</li><li>Predictive Analytics</li><li>Generative AI</li><li>Data Engineering Concepts</li><li>Cloud Platforms (AWS &amp; Azure)</li><li>Big Data Technologies</li><li>Enterprise Data Solutions</li><li>Advanced SQL and Python Development</li></ul>QualificationsMinimum Qualifications<ul><li>Master&rsquo;s degree in computer science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related quantitative field</li><li>OR bachelor&rsquo;s degree with at least 2 years of professional technical experience</li></ul>Required Skills<ul><li>Experience coding in Python</li><li>Strong SQL skills</li><li>Understanding of object-oriented programming concepts</li><li>Strong analytical and problem-solving abilities</li><li>Excellent communication skills</li><li>Ability to learn new technologies quickly</li></ul>Preferred Skills<ul><li>Experience with any of the following is a plus:</li><li>Data Analytics</li><li>Software Development</li><li>AI Engineering</li><li>Machine Learning</li><li>AWS</li><li>Azure</li><li>Databricks</li><li>PySpark</li><li>GitLab</li><li>Data Warehousing</li><li>Cloud Technologies</li><li>Statistical Analysis</li></ul>Pay: $35.00 - $42.00 per hourBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Relocation assistance</li></ul>Work Location: In person

Jr Data Scientist

Truist

<div>The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)<h3 class="jobSectionHeader">
Please review the following job description:</h3>
We are seeking a Director of Business Data Products &amp; Enablement (BDPE) to lead the development and delivery of scalable, product-based data solutions across Deposits and Lending within Consumer &amp; Small Business Banking (CSBB). 
This role is accountable for defining and executing a product-driven data strategy, transforming fragmented reporting and analytics into standardized, governed, and reusable data products that drive measurable business value. 
The Director will act as a bridge between business and technology, ensuring that data products are aligned to business priorities, built with high quality and governance, and adopted effectively to enable faster, more consistent decision-making.
ESSENTIAL DUTIES AND RESPONSIBILITIES 
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 
1. Manage significant advanced analytics projects which involve broad latitude and judgment regarding the management of assigned projects including scoping, approach design, assignment of tasks, and accountability for deliverables. 
2. Lead a team of Data and Analytics professionals. Provide coaching and guidance to team members, understanding their strengths, weaknesses and goals to support the appropriate opportunities for career development and enhancement. Provide performance evaluations in accordance with Truist guidelines. Work with teammates to establish development plans and provide regular coaching and feedback to members of the team. 
3. Responsible for talent acquisition, coaching and organization of data science professionals possessing highly technical skills, an understanding of business processes, natural curiosity and a drive to excellence in pursuit of business optimization and impact. 
4. Foster communication and partnership across all levels of the organization including engagement with Senior Leadership and C-Suite, Truist Executive Leadership Team. Responsible for stewarding relationships, delivering on promises and building trust with partners while delivering on LOB and company goals. 
5. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by advanced analytics in support of enhanced decision-making. Focus on continuous improvement in delivering data science driven insights and outcomes in pursuit of business optimization. 
6. Provides strategic direction in data collection, data wrangling, data mining, advanced analytic concepts, AI &amp; machine learning, self-service enablement and data visualization for the line of business partners. 
7. Drive overall team standards in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers. 
8. Represent the team in various forums, work streams, and Executive reviews. Cultivate relationships with Senior Leaders from the Enterprise Data Office and federated analytics teams to drive efficient data science &amp; predictive analytics delivery against shared objectives. 
9. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
QUALIFICATIONS 
Required Qualifications: 
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
1. Bachelor&rsquo;s degree or equivalent education and related training or experience, and 15 or more years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 
2. 10 or more years of progressive data science or analytics management experience with a diverse project focus and demonstrated results. 
3. Must be a people leader, able to manage in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights. 
4. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact. 
5. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact. 
6. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact. 
7. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness. 
8. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).
Preferred Qualifications:
1. Experience with modern data platforms (e.g., cloud, Snowflake, BI tools)
2. Prior working experience with data governance frameworks, and risk controls
3. Experience in AI/advanced analytics enablement for Agentic and traditional applications
4. Experience in data, analytics, product management, or BI delivery in Consumer Banking
5. Demonstrated ability to:
 Translate business strategy into executable data solutions
 Lead cross-functional teams and influence senior stakeholders
 Deliver measurable business outcomes through data and analytics
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work</div>

Director, Business Data Products & Enablement (BDPE) - Deposits & Lending

<div>
 Req184111
 
 
 
 Position Purpose
 
 
 
 A Logistics Sr. Analyst uses analytical methods and a variety of tools to understand, predict, improve and/or control Logistics operations and processes. Sr. Logistics Analysts are responsible for data management, analyzing performance, identifying problems, and developing recommendations that support Logistics management. Solves problems by considering courses of action within the framework of business goals and standards. Operates with minimal supervision and once given general assignments, prioritizes and executes tasks. Provides and communicates recommendations to upper management. Mentors and guides Logistics Analysts in daily work tasks. Must be a self starter, detail oriented, able to support and lead multiple projects, possess excellent communication skills, work well with a team, interact with multiple levels and functions with the Logistics organization, and able to manage vendor/business relationships. - Daily project activity coordination for multiple large scale initiatives such as Supply Chain Sync, Manual Floor Load, and Breakpack enhancement Implementation. - Developing and executing score carding for project and key organizational metrics to evaluate the performance to business case of those projects. - Performs forecasting, development and implementation of process improvement opportunities associated with assigned projects - Performs analysis in support of requested business and systemic enhancements which will result in cost savings to the company
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 25% Utilizes quantitative skills to create and analyze reports to support business execution. Supports the business through ad-hoc queries, and maintains reports from a variety of resources as specific to department or organizational needs
 </li>
 <li>
 25% Develops business tools and solutions based on knowledge, product or technology. Identifies Logistics process improvement opportunities through strategic thinking, critical thinking and analysis
 </li>
 <li>
 20% Provides recommendations to senior management. Mentors and guides Logistics Analysts
 </li>
 <li>
 20% Performs data management through data mining/data modeling/data analysis/cost/benefit analysis/process mapping/%/or problem analysis while executing day to day processes related to area of responsibility. Develops &amp; maintains cost estimates, forecasts, and cost models. Supports business through ad-hoc queries &amp; maintains reports
 </li>
 <li>
 10% Manages vendor/business partner relationships
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position reports to Manager of Sr Manager
 </li>
 <li>
 This position has no Direct Reports
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 Typically requires overnight travel less than 10% of the time.
 
 
 </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>
 Industrial Engineering, Business Administration, Math or Finance Degree Master's Degree
 </li>
 <li>
 Experience with Six Sigma or other Process Improvement Methodology
 </li>
 <li>
 Proficient in: Microsoft Office Suite including Access, Excel, Powerpoint, Project, Word and Visio.
 </li>
 <li>
 Advanced Skills in: Mini-Tab, Access, SQL, Visual Basic Skills for Data Acquisition and Analysis, Visio-Process Mapping Skills
 </li>
 <li>
 Project Management Skills
 </li>
 <li>
 Finance/CBA/Capital Budget Experience
 
 
 </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>
 3
 
 
 </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>
 None
 </li>
 </ul>
</div>

Sr. Logistics Analyst

REPAY

<div>ABOUT REPAY
 
REPAY (&ldquo;Realtime Electronic Payments&rdquo; / NASDAQ TICKER: RPAY) is an established and fast-growing publicly traded financial technology and payment processing company headquartered in Atlanta, Georgia, with offices across the country. REPAY enables its customers to accept payments anytime, anywhere, and through any channel while providing a secure, seamless, and enjoyable payment experience for the end consumers. REPAY offers a comprehensive suite of electronic payment and funding solutions, including debit and credit card processing, ACH processing, Instant Funding, and electronic bill payment systems with full IVR, text, and mobile capabilities. The scalability of its products allows merchants of all sizes to add an instant arsenal of intelligent payment technology solutions to their businesses without significant development costs or infrastructure investments.
ABOUT THE ROLE
REPAY is seeking a Sales Operations Analyst to support and optimize our go-to-market processes across Sales, Marketing, and Client Success. This role is responsible for maintaining the integrity of Salesforce data, managing lead lifecycle processes, developing reporting and dashboards, and partnering cross-functionally to improve operational efficiency.
The ideal candidate is highly analytical, detail-oriented, and thrives in a fast-paced environment. This person will work closely with Sales Leadership, Marketing, Client Success, Finance, and Salesforce Administration teams to ensure our systems, processes, and reporting provide actionable insights that drive business growth. 
About the Team
The Sales Operations team&rsquo;s mission is to:
<ul><li>Maintain the accuracy, integrity, and quality of data within Salesforce and supporting applications.
</li><li>Manage and optimize lead lifecycle processes from creation through conversion.
</li><li>Partner with Sales and Marketing to improve lead qualification, routing, and campaign attribution.
</li><li>Deliver reporting, dashboards, and analytics that enable data-driven decision making.
</li><li>Govern and enhance Salesforce-related business processes and integrations.
</li><li>Drive operational excellence through process improvement and automation.
</li>Serve as a trusted partner to go-to-market teams by providing timely support, training, and insights. 
<li>
</li></ul>RESPONSIBILITIES
<ul><li>Manage the lead lifecycle process, including lead assignment, routing, enrichment, conversions and ongoing data hygiene</li>
<li>Maintain Salesforce data quality by identifying and resolving duplicates, ownership discrepancies, and incomplete records</li>
<li>Partner with Marketing to analyze campaign performance, attribution, and lead conversion metrics</li>
<li>Develop and maintain reports and dashboards related to:
<ul><li>Pipeline and funnel performance</li>
<li>Bookings and gross profit</li>
<li>Lead conversion and campaign attribution</li>
<li>SDR and Account Executive activity</li>
<li>Technology Partner performance</li>
<li>Territory and portfolio analysis</li>
<li>Executive and ad hoc reporting
 
</li></ul></li><li>Support forecasting and quota management process in partnership with Sales Leadership</li>
<li>Administer and optimize sales enablement and data enrichment tools, including ZoomInfo, RingLead, Sales Engagement, and related Salesforce integrations</li>
<li>Collaborate with Salesforce Administrators on system enhancements, business requirements, testing, and process improvements</li>
<li>Document business processes and provide end-user training to Sales and Client Success teams</li>
<li>Participate in cross-functional projects from requirements gathering through implementation and post-launch support</li>
<li>Identify opportunities for automation and operational efficiencies across the go-to-market organization</li>
</ul>SKILLS &amp; EXPERIENCE NEEDED
<ul><li>2+ years of experience in Sales Operations, Revenue Operations, Business Operations, or a related analytical role</li>
<li>Experience working extensively in Salesforce CRM, including reports, dashboards, and data management</li>
<li>Experience with Salesforce-integrated tools such as ZoomInfo, RingLead, Sales Engagement, or similar applications</li>
<li>Strong analytical skills with experience interpreting and presenting business performance metrics</li>
<li>Advanced Excel skills, including pivot tables, lookups, formulas, and data analysis techniques</li>
<li>Experience using business intelligence and visualization tools such as Sisense, PowerBI, Tableau, or similar platforms</li>
<li>Experience working with data warehouses, data lakes, or SQL is a plus</li>
<li>Excellent project management and organizational skills with the ability to manage multiple priorities simultaneously</li>
<li>Strong communication skills and the ability to collaborate effectively across technical and non-technical teams</li>
<li>Experience supporting data governance initiatives or establishing data quality standards is preferred</li>
<li>Bachelor's degree in Business, Finance, Information Systems, Analytics, or a related field preferred</li>
</ul>WHY JOIN REPAY.&hellip; BECAUSE CULTURE IS EVERYTHING 
 
GROWTH &amp; PEOPLE-CENTERED LEADERSHIP
 
As the industry-leading financial technology provider in the Consumer Finance and Business to Business spaces, we continue to set the standard for application development and delivery. In 2019, REPAY became a public company listed on the Nasdaq Stock Market (RPAY). For the past three consecutive years, we have placed on the ACG&reg; Atlanta Georgia Fast 40, a list recognizing the top 40 fastest-growing middle-market companies in Georgia. REPAY&rsquo;s leadership empowers each team member to make a difference and stretch to their fullest potential. Our dedication to frequent, transparent communication is shown with companywide meetings where our leaders share company vision and encourage employees to ask questions.
FUN WORK ENVIRONMENT &amp; GREAT TEAMS
 
We offer it all: business to casual dress, great snacks &amp; beverages, and open-air collaborative team settings. REPAY has been certified as a Great Place to Work&reg; company for 2017, 2018, 2019, 2020, 2021, and 2022. The REPAY team is fun, smart, collaborative, and truly enjoys working together. Making a difference in our local communities &ndash; we support several philanthropic initiatives every year to give back to our local communities. We are self-driven, motivated professionals who do not require micro-management to ensure we produce high quality and timely work.
INNOVATION &amp; EDUCATION
 
We create highly sophisticated payment processing applications and are always pushing the boundaries of what is possible. We are constantly revolutionizing the industry by building on new ideas from clients and employees. We provide the resources necessary to ensure new innovations can develop quickly and with quality. We encourage continuing education, including professional conferences and events.
PUTTING OUR PEOPLE FIRST
 
We believe our people are the best, and we care immensely about their success. We offer a comprehensive benefits package which includes 100% coverage of employee healthcare premiums and several free benefits, including life insurance, disability insurance, and work-life balance resources. All benefits go into effect day one. Our employees&rsquo; futures are important to us, which is why we have a 401(k)-employer match and and an Employee Stock Purchase Plan. REPAY employees are eligible to participate in our Annual Bonus Program. This bonus award reflects excellent performance of individual contributions and goals achieved during the past year.
REPAY&rsquo;s core values are Excellence, Passion, Innovation, Respect, and Integrity.
REPAY is an Equal Opportunity Employer and we promote a company culture where diversity, equity and inclusion are central. We are committed to build our teams and grow a company in which employees can succeed, regardless of race, color, national origin, sex, sexual orientation, gender identity or expression, transgender status, pregnancy, religion, age (40 and over), disability, service in the uniformed services, protected veteran status, genetic information, or any other classification protected by federal, state or local law. Celebrating our diverse backgrounds, views and beliefs allows us to embrace what makes us unique and continue to innovate and push the boundaries of what is possible.
We are interested in every qualified candidate who is eligible to work in the United States. This position is not eligible for hire in California. Additionally, we are not able to sponsor visas.</div>

Sales Operations Analyst

NAPA Auto Parts

<div>Position Mission:
Leads creation and maintenance of financial forecasting &amp; reporting for category-level consumption. Enhances strategic category decision making by providing accurate, timely and insightful data.
Position Performance Measures:
<ul><li>Maintains data integrity.</li>
<li>Develops reporting solutions in line with the department plan.</li>
<li>Generates timely reporting.</li></ul>
Responsibilities: The following section contains the primary responsibilities for this position. Job holder is responsible for performing any other duties as assigned by management. List the significant activities that support that function, for instance manage the annual store audit process. Where possible use language that ties the job back to the company mission and vision.<ul>
<li>Develop actionable dashboards with pricing and commercial KPIs and forecast to:
<ul><li>Support merchandising in category strategy
</li><li>Support sales on market intelligence, sales rep performance and coaching
</li><li>Identify drivers of margin erosion and compliance metrics</li>
</ul></li><li>Build out new forecasting and reporting templates and tools to assist category team with measuring product level profitability</li>
<li>Develop end-to-end visibility into customer &amp; supplier cost-to-serve, and associated reporting &amp; tracking</li>
<li>Build next generation of sales growth AI tools to support profitable growth:
<ul><li>Develop Churn propensity models and cross sell/upsell tools to embed in sales process and whitespace identification tools
</li></ul></li><li>Measure promotional effectiveness by analyzing financial data, customer decision trees, and competitive products. Makes recommendations based on data and measures effectiveness of results.
</li><li>Provides ad hoc financial reporting and other analyses as directed.</li></ul>
Experience, Education, and Abilities:
<ul><li>Self-starter with proactive drive and ambition to perform and drive change with minimal direction &amp; coaching</li>
<li>At least 3-5 years working in a financial analyst role, ideally in a complex data environment.</li>
<li>College degree from an accredited institution (or other advanced degree in economics, mathematics, finance, marketing intelligence or business intelligence) or equivalent.</li>
<li>High level of commercial and financial acumen experience required; CFA accepted</li>
<li>Demonstrated and advanced proficiency with business intelligence tools; preferably excel and data visualization tools (Tableau, Power BI, Qlik, etc.)</li>
<li>Advanced experience with database systems at an enterprise level</li>
<li>Demonstrated and advanced proficiency with Microsoft Excel, such as database management, vlookups, and pivot tables.
</li><li>Demonstrated experience with data governance projects.</li>
<li>Strong internal and external relation-building skills.</li>
<li>Uncompromising integrity and intellectual honesty; possesses courage and conviction to speak their position.</li>
<li>Demonstrated previous experience reporting to senior executives.</li>
<li>Highly self-motivated with a strong work ethic.</li>
<li>Work is performed in a typical office environment.</li></ul>
Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!
GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.</div>

Senior Manager, Merchandise Finance

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
 </li>
 <li>
 Expertise in time series forecasting techniques (ARIMA, Prophet, Neural Networks) and optimization algorithms
 </li>
 <li>
 Proficiency in SQL, Python and/or R for data analysis and modeling
 </li>
 <li>
 Experience integrating large datasets from multiple sources, including attribution and performance metrics
 </li>
 <li>
 Strong communication skills to translate technical outcomes into business impact
 </li>
 <li>
 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>
 <li>
 Integrate data from attribution, publisher metrics, seasonality, and external signals for comprehensive analysis
 </li>
 <li>
 Deliver reporting and insights to guide decision-making across teams
 </li>
 <li>
 Create dashboards and visualizations to present data findings clearly to non-technical stakeholders
 </li>
 <li>
 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
 </li>
 <li>
 Comprehensive medical, dental, and disability insurance
 </li>
 <li>
 401(k) match up to 4%
 </li>
 <li>
 Hybrid work environment with flexible scheduling
 </li>
 <li>
 15 personal days plus 10+ public holidays
 </li>
 <li>
 Monthly health and wellness stipend
 </li>
 <li>
 Casual, collaborative, and dog-friendly office culture in the heart of Flatiron or remote work options
 
 
 </li>
 </ul>
 #Dice #ZR-Pro
 
 
</div>

Sr Data Analyst

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