acquisitions analyst

associate data engineer

data scientist - pro

sr. data analyst, data quality Jobs in Atlanta

sr. data analyst, data quality

analyst, finance

data analyst

ACL Digital

<div>
 
 
 Need Only USC/ GC
 
 
 
 
 Job Title: Data Analyst &ndash; Analytics &amp; Data Operations
 
 
 
 
 Location: Atlanta, GA (Onsite)
 
 
 
 
 Duration: 12+ Months (Contract to hire)
 
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 Overview:
 
 
 
 We are seeking a Data Analyst who will play a critical role in delivering reliable insights, working closely with stakeholders, and ensuring data accuracy across the organization. This role goes beyond traditional reporting; the analyst will actively investigate and resolve data issues, collaborate with cross functional teams, and provide operational support for analytics systems. The ideal candidate is analytically strong, detail oriented, comfortable working with ambiguity, and capable of balancing business analysis with data operations and system support.
 
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 7+ years of experience as a Data Analyst or Analytics-driven role
 </li>
 <li>
 Strong proficiency in SQL or Python (required)
 </li>
 <li>
 Experience working with databases and large, complex datasets
 </li>
 <li>
 Strong experience with data visualization or reporting tools (Power BI, Tableau, or similar)
 </li>
 <li>
 Expertise with modern data platforms and analytics stacks (e.g., Azure, AWS, Databricks, Snowflake)
 </li>
 <li>
 Solid understanding of data validation, data quality, and reconciliation techniques
 </li>
 <li>
 Demonstrated ability to independently investigate complex data issues from source systems through reporting layers
 </li>
 <li>
 Strong analytical, critical thinking, and problem solving skills
 </li>
 <li>
 Excellent communication skills with the ability to work effectively across technical and non technical teams
 </li>
 </ul>
 
 
 
 
 
 Preferred / Nice to Have Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Business, Analytics, Data Science, Computer Science, Statistics, Math or a related field
 </li>
 <li>
 Familiarity with cloud data warehouses and ETL/ELT tools
 </li>
 <li>
 Exposure to data transformation tools (e.g., dbt)
 </li>
 <li>
 Experience supporting production analytics systems or data platforms
 </li>
 <li>
 Knowledge of basic statistics and experiment analysis (e.g., A/B testing)
 </li>
 <li>
 Comfort participating in off peak deployments and releases when needed
 </li>
 </ul>
</div>

Data Analyst

Partners Cooperative, Inc.

<div>
 
 Overview:
 
 
 
 
 
 As a Supply Chain Data Analyst, you will be responsible for analyzing and interpreting data related to the supply chain cost-saving initiatives and projects undertaken by the Partners member committees. Your primary focus will be on gathering, organizing, and analyzing data against benchmarks to identify trends, patterns, savings potential, value opportunities, and insights that support the initiatives and projects pursued by the member committees and the Partners Contract Analysts that support those member committees. This work will enhance the efficiency, effectiveness, and overall performance of Partners and our participating members. You will participate and collaborate with various stakeholders within Partners and across our members, to provide data and analytics to assist the Partners Contract Analysts in the creation of actionable strategies, recommendations, and steps for driving value within each initiative.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 Data Collection and Analysis:
 
 
 &bull; Collect, clean, and organize large sets of data from various sources including ERP systems, databases, and external sources.
 
 
 &bull; Analyze supply chain data to identify trends, patterns, and anomalies that may impact the performance of the supply chain operations.
 
 
 &bull; Participate and collaborate with various stakeholders within Partners and across our members, to provide data and analytics to assist the Partners Contract Analysts in the creation of actionable strategies, recommendations, and steps for driving value within each initiative.
 
 
 &bull; Utilize statistical methods, benchmarks and data visualization techniques to present findings and tell the story for the project, in a clear and understandable manner.
 
 
 
 
 
 Process Improvement:
 
 
 &bull; Identify opportunities for process improvements and savings opportunities within the supply chain based on data analysis.
 
 
 &bull; Collaborate with cross-functional teams to implement process improvements and measure their impact on supply chain performance.
 
 
 
 
 
 Risk Management:
 
 
 &bull; Identify potential risks and vulnerabilities within the supply chain through data analysis.
 
 
 &bull; Assist with developing strategies to mitigate risks, drive member value and ensure continuity of supply across our members.
 
 
 
 
 
 Education/Technical Requirements:
 
 
 &bull; Bachelor's degree in supply chain management, logistics, statistics, mathematics, computer science, or a related field.
 
 
 &bull; 1-2 years of related healthcare supply chain experience preferred.
 
 
 &bull; Proven experience working with supply chain data and analytics tools such as Excel, SQL, Tableau, or other BI software, etc.
 
 
 &bull; Strong analytical skills with the ability to interpret complex data sets and draw meaningful insights. Detail-oriented.
 
 
 &bull; Proficiency in statistical analysis and forecasting techniques.
 
 
 &bull; Excellent communication skills with the ability to effectively communicate technical concepts to non-technical stakeholders.
 
 
 &bull; Strong problem-solving skills with a proactive and collaborative approach. Self-starter.
 
 
 &bull; Knowledge of supply chain contracting processes, negotiations and best practices.
 
 
 &bull; Experience with ERP systems (e.g., SAP, Infor, PeopleSoft) is desirable.
 
 
 &bull; Familiarity with supply chain optimization techniques and tools is a plus. (Proficiency in all Microsoft Office tools, expert in Excel required).
 
 
 &bull; Data entry and typing proficiency required.
 
 
 &bull; Data validation experience:
 
 
 o Proper pricing implemented
 
 
 o Rebates paid
 
 
 o Proper payments of Administrative Fees
 
 
 o Able to audit data for accuracy and resolves discrepancies
 
 
 &bull; Handle multiple, multi-disciplinary assignments at any one time.
 
 
 &bull; Work independently and responsibly in meeting deadlines and setting priorities.
 
 
 &bull; Attend committee meetings as requested. Takes minutes for committee meetings as requested.
 
 
 &bull; Demonstrates an understanding of the sensitive nature of the work and the importance of confidentiality as outlined in policy and as dictated by the nature of the job.
 
 
 &bull; Performs clerical duties as requested such as filing, typing, copying, and faxing.
 
 
 &bull; Other duties as assigned.
 
 
 
 
 
 Physical Demands:
 
 
 &bull; Requirement of sitting for long periods of time throughout the day.
 
 
 &bull; Requirement to be in the corporate office at a minimum of two days per week.
 
 
 &bull; Occasionally required to stand, walk, stoop, kneel, crouch, or crawl. Some local travel may be required.
 
 
 &bull; Assists with maintaining a neat and clean workplace. Maintains organized and clean work area.
 
 
 
 
 
 Core Behavioral Competency:
 
 
 &bull; Maintains positive, effective relationships with co-workers, managers, and committee members. Listens; seeks first to understand - then to be understood.
 
 
 &bull; Actively participates in team meetings as a positive, contributing member of the group.
 
 
 &bull; Addresses problems in positive ways by attempting to identify problems and solutions to problems, rather than by fixing blame.
 
 
 &bull; When individual job assignments are current and complete, supports co-workers by providing them with support or assistance in their work. Works with co-workers to accomplish common organizational goals.
 
 
 &bull; Works efficiently and independently by effectively planning, organizing, and prioritizing assigned work. Makes efficient use of time, supplies, and equipment. Ensures that assigned work areas are safe, neat, and well maintained. Uses our resources wisely.
 
 
 &bull; Provides for professional effectiveness by maintaining personal wellness and balance in life. Supports team performance by maintaining good attendance.
 
 
 &bull; Promptly responds to internal or external requests. Seeks to understand and exceed the expectations of ever customer, internal or external.
 
 
 &bull; Respects the dignity and privacy needs of others. Displays courtesy and respect in day&shy; to-day interaction with others verbally and in overall conduct.
 
 
 &bull; Displays integrity by matching actions and conduct in order to promote Partners Cooperative, Inc. in a positive manner. Lives up to the commitments made to others.
 
 
 &bull; Is proactive in employee safety issues by reporting to her/his immediate supervisor any potential safety issues. Ensures safety at all times and works to prevent any safety risks.
 
</div>

Workday

<div>
 
 Your work days are brighter here.
 
 
 
 We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.
 
 
 
 About The Team
 
 
 
 Are you passionate about building data products that solve problems across an entire company? We are a cross‑functional team of Data Analysts who partner with product, sales, operations, and business leaders to design and deliver data products that drive better decisions at scale. As a Sr. Associate Data Analyst, you will work across domains and functions to understand business needs, shape data product requirements, and turn complex data into reliable, intuitive solutions and insights for stakeholders.
 
 
 You&rsquo;ll collaborate closely with colleagues who deeply understand Workday&rsquo;s data, systems, and business processes, giving you opportunities to develop strong foundations in analytics, data modeling, and product thinking. This role is a great fit if you enjoy learning new domains, working with diverse partners, and seeing your work embedded in reusable data products that power decisions across the company.
 
 
 
 About The Role
 
 
 
 Workday is looking for a
 
 Associate Data Analyst
 
 with a passion for cross‑functional collaboration and building scalable data products. In this role, you will use your analytical thinking, business analysis skills, and technical toolkit (including SQL and modern analytics tools) to analyze complex business problems using data from internal and external sources, and to translate those needs into well‑designed, reusable data assets.
 
 
 You&rsquo;ll partner with stakeholders across multiple organizations to:
 
 
 <ul>
 <li>
 Understand their objectives and pain points,
 </li>
 <li>
 Define shared metrics and data requirements,
 </li>
 <li>
 Co‑design data products (datasets, models, reports, and dashboards) that can be used broadly rather than as one‑off solutions.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Partner with cross‑functional stakeholders (e.g., product, sales, finance, HR, operations) to identify, define, and clarify business problems and opportunities, and translate these into clear data product requirements.
 </li>
 <li>
 Analyze datasets from Workday and other systems to identify trends, patterns, and drivers that inform the design of scalable data products and shared metrics.
 </li>
 <li>
 Design and iterate on reusable data assets (e.g., curated datasets, semantic layers, standardized dashboards) that can support multiple teams and use cases, rather than one‑off analyses.
 </li>
 <li>
 Write and optimize SQL queries to extract, join, and validate data from relational sources, ensuring performance, reliability, and alignment with our data models.
 </li>
 <li>
 Use data analysis tools and visualization platforms to build intuitive, self‑service reporting and analytics experiences that empower stakeholders to answer their own questions where appropriate.
 </li>
 <li>
 Apply strong Analytical Thinking and Problem Analysis to break down complex, ambiguous questions into structured problems with clear hypotheses, methods, and success criteria.
 </li>
 <li>
 Demonstrate Business Acumen by understanding how different functions operate, how their metrics relate, and how shared data products can create leverage across organizations.
 </li>
 <li>
 Contribute to Data Governance by helping define and document metrics, data definitions, and usage guidelines for data products, and by raising and tracking data quality issues with appropriate owners.
 </li>
 <li>
 Collaborate with analytics engineers, data engineers, and other analysts to align on data models, pipelines, and technical standards that support reliable data products.
 </li>
 <li>
 Participate in and sometimes facilitate cross‑functional design reviews, stakeholder workshops, and feedback sessions to refine data products and ensure they meet real user needs.
 </li>
 <li>
 Support testing and validation of new or updated data products, including sanity checks, reconciliation with source systems, and tracking issues through to resolution.
 </li>
 <li>
 Contribute to documentation, playbooks, and knowledge‑sharing so that data products are well understood and easy to adopt across teams.
 
 
 </li>
 </ul>
 Over time, you will deepen both your product and analytics capabilities, taking on more complex cross‑functional initiatives.
 
 
 
 About You
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 2+ years of professional experience in a data‑focused role (e.g., Data Analyst, Product Analyst, Business Analyst, Reporting Analyst) working closely with stakeholders to solve business problems using data.
 </li>
 <li>
 Hands‑on experience writing and using SQL to query and manipulate data from relational databases or structured datasets.
 </li>
 <li>
 Experience with at least one data visualization / BI tool (e.g., Tableau, Power BI, Looker, or similar) to build reports or dashboards that are used by multiple stakeholders.
 </li>
 <li>
 Experience in Finances is a must.
 
 
 </li>
 </ul>
 
 Other Qualifications
 
 
 
 <ul>
 <li>
 Solid understanding of relational data concepts and basic data modeling, including relationships, joins, aggregations, and how to structure data for analytics and reporting.
 </li>
 <li>
 Strong Analytical Thinking and Problem Analysis skills, with the ability to decompose complex, cross‑functional questions into smaller, answerable components and choose appropriate analytical approaches.
 </li>
 <li>
 Demonstrated experience in Business Analysis: capturing requirements, mapping business processes to data, and converting stakeholder needs into clear data or reporting specifications.
 </li>
 <li>
 Strong verbal and written communication skills, with the ability to explain data concepts, trade‑offs, and findings in a way that resonates with different audiences, from technical partners to business leaders.
 </li>
 <li>
 Experience with Python or R for data analysis, automation, or experimentation is a plus.
 </li>
 <li>
 Familiarity with Workday data, Salesforce.com, reporting, analytics, or similar enterprise application data domains is a plus.
 </li>
 <li>
 Demonstrated ability to collaborate effectively across multiple teams and levels, build trust, and influence through data and clear reasoning.
 </li>
 <li>
 Comfortable working in an iterative or agile environment, incorporating feedback, and adjusting as priorities and learnings evolve.
 </li>
 <li>
 Ability to maintain high standards of data integrity and confidentiality, and to support Data Governance practices in your day‑to‑day work.
 
 
 </li>
 </ul>
 
 Workday Pay Transparency Statement
 
 
 
 The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please click here.
 
 
 Primary Location: CRI.Heredia
 
 
 Primary Location Base Pay Range: ₡20,170,400 CRC - ₡30,255,600 CRC
 
 
 Additional US Location(s) Base Pay Range: $79,800 USD - $141,700 USD
 
 
 
 Our Approach to Flexible Work
 
 
 
 With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply
 
 spend at least half (50%) of our time each quarter in the office or in the field
 
 with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
 
 
 Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
 
 
 Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
 
 
 At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
 
 
 
 Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
 
 
 
 At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
 
 
 Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
 
 
 In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
 
 
 ,
 
 
</div>

Associate Data Analyst

HD Supply

<div>Preferred Qualifications<ul><li>
3-5 years of experience in database marketing analysis
</li><li>Adobe Analytics or Google Analytics experience preferred
</li><li>Experience in database marketing analysis including segmentation, AB testing, and control group</li><li>
Strong proficiency in Excel</li><li>
Experience with database querying tools, languages, and analytical platforms including SQL and Tableau</li></ul><div>
Job Summary</div><div>
Responsible for defining data models to improve reporting and analytics consistency and insure accurate tracking/measurement across reporting platforms. Act as liaison between technical teams and business stakeholders to facilitate, conceptualize and define systems solutions; ensuring solutions align properly with data architecture.</div><div></div><div> 
Major Tasks, Responsibilities, and Key Accountabilities</div><ul><li>
Participates in solution design and development by actively validating data solutions and validating new reports for correct data sourcing and accuracy.</li><li>
Develops data definitions; defining database physical structure and functional capabilities, security, back-up, and recovery specifications.</li><li>
Provides analyses, design, training, maintenance, tuning, documentation, and implementation of enterprise class logical data models and physical database objects.</li><li>
Ensures the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle.</li><li>
Maintains analytic/reporting performance by identifying and resolving production and application development problems.</li><li>
Provides domain expertise, technical direction and risk assessment in support of development projects.</li><li>
Works with clients, business analysts, technical staff, and project team members to plan, design, develop, implement, and enhance applications, scripts, procedures, and metadata for relational databases.</li><li>
Builds collaborative relationships with development and IT teams.</li></ul><div> 
Nature and Scope</div><ul><li>
Identifies key barriers/core problems and applies problem solving skills in order to deal creatively with complex situations. Troubleshoots and resolves complex problems. Makes decisions under conditions of uncertainty, sometimes with incomplete information, that produce effective end results.</li><li>
Independently performs assignments with instruction limited to the expected results. Determines and develops an approach to solutions. Receives technical guidance only on unusual or complex problems or issues.</li><li>
May oversee the completion of projects and assignments, including planning, assigning, monitoring and reviewing progress and accuracy of work, evaluating results, etc. Contributes to employees' professional development but does not have hiring or firing authority.</li></ul><div> 
Work Environment</div><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li><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><li>
Typically requires overnight travel less than 10% of the time.</li></ul><div> 
Education and Experience</div><ul><li>
Typically requires BS/BA in a related discipline. Generally 5-8 years of experience in a related field OR MS/MA and generally 3-5 years of experience in a related field. Certification is required in some areas.</li></ul>
Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.</div>

Sr. Data Analyst

<div>Before you apply to a job, select your language preference from the options available at the top right of this page.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow&mdash;people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
Job Overview 
The Rates Senior Data Analyst bridges advanced analytics and business strategy to drive data-informed pricing and rate decisions. This role is responsible for developing and implementing predictive and prescriptive models while translating complex data insights into actionable business recommendations. Working closely with cross-functional stakeholders, the analyst gathers requirements, defines business problems, and delivers scalable analytical solutions. This position plays a key role in aligning analytics initiatives with organizational goals and ensuring measurable business impact.
Key Responsibilities<ul><li>
Lead the development and implementation of advanced analytics models to support pricing and rate optimization</li><li>
Serve as a liaison between technical teams and business units to ensure alignment on objectives and outcomes</li><li>
Build, run, and refine predictive and prescriptive models to solve complex business problems</li><li>
Analyze data to identify trends, risks, and opportunities related to pricing, demand, and revenue performance</li><li>
Develop dashboards, reports, and visualizations to communicate insights clearly and effectively</li><li>
Present findings and recommendations to stakeholders and senior leadership</li><li>
Conduct scenario analysis, forecasting, and what-if modeling to support decision-making</li><li>
Ensure data quality, governance, and documentation of business and analytical processes</li><li>
Mentor junior analysts and promote best practices across analytics and business analysis functions</li><li>
Continuously improve analytical approaches, tools, and processes</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in Data Analytics, Statistics, Mathematics, Economics, Finance, Business Administration, Computer Science, or a related field</li><li>
5+ years of experience in data analytics, business analysis, pricing, or a related field</li><li>
Strong proficiency in SQL and experience working with large datasets</li><li>
Strong proficiency in Microsoft Excel</li><li>
Experience with data visualization tools such as Tableau, Power BI, or similar</li><li>
Solid understanding of statistical analysis and analytical methodologies</li><li>
Strong analytical thinking combined with business acumen</li><li>
Excellent communication and stakeholder management skills</li></ul>
Preferred Qualifications<ul><li>
Experience with pricing, rate modeling, or revenue optimization</li><li>
Experience with Python for data analysis</li><li>
Knowledge of A/B testing, experimentation, and scenario analysis</li><li>
Familiarity with cloud platforms (AWS, Azure, or Google Cloud)</li></ul>
Key Competencies<ul><li>
Ability to bridge technical and business perspectives</li><li>
Strategic thinking and decision support</li><li>
Stakeholder engagement and influence</li><li>
Advanced problem-solving and critical thinking</li></ul><h3 class="jobSectionHeader">
The position is based in Atlanta, Georgia and will require commuting to office. Employer will not sponsor a visa for this position. Must be currently in the same geographic location as the job or willing to relocate yourself.</h3>
Job Grade: 20F
Last day to apply internally: 5/6/26 @ 11:59pm EST
Employee Type:
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.</div>

Rates Senior Data Analyst

The Home Depot

<div>Position Purpose:
The Sr Data Analyst, Pro Experience will serve as a key role supporting the Home Depot Pro strategic growth initiatives. As part of the Pro Experience team, the Sr Data Analyst will be responsible for owning individual analytical projects and team initiatives that involve analyzing data, designing pilot campaigns, building Tableau dashboards, and communicating findings effectively to partner teams.
This role is designed for individuals with advanced analytical skills who can leverage large data sets to drive actionable insights. The ideal candidate possesses a strong understanding of data visualization tools and statistical analysis techniques, demonstrating the ability to work independently as well as collaboratively within cross-functional teams
Key Responsibilities:<ul><li>
Establish reporting standards and best practices.</li><li>
Architect and implement a reporting framework.</li><li>
Oversee data mining efforts.</li><li>
Develop programs, methodologies, and files for analyzing and presenting data.</li><li>
Collaborate with stakeholders, developers, UX designers and end-users to determine requirements.</li><li>
Data analysis, development of SQL scripts, stored procedures &amp; triggers, and report generation.</li><li>
Develop programs, methodologies, and files for analyzing and presenting data</li><li>
Data Cleansing/validation</li><li>
Prepare data load scripts for mass data load from various data sources</li><li>
Use of varied database applications/analytical tools</li><li>
Enhancements/modifications to systems and procedures</li><li>
Use of varied database applications/analytical tools</li><li>
Enhancements/modifications to systems and procedures</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Position Reports to Sr. Engineer or Sr. Manager</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>
2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.</li><li>
An intermediary understanding of SQL joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language such as Python</li><li>
Experience building reports/analyses with analytical tools (e.g. Excel, Tableau, etc.)</li><li>
Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)</li><li>
B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field.</li><li>
Work experience with Google BigQuery.</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>
7</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>
Superior interpersonal skills and ability to collaborate actively and work in a team environment.</li><li>
Commitment to organized, high-quality deliverables.</li><li>
Ability to mentor colleagues on standards, best practices, and new technology concepts.</li><li>
Understanding of usability best practices and user design.</li><li>
Creative approach to problem solving, innovation, and issue resolution.</li><li>
Excellent verbal and written communication skills.</li><li>
Self-motivated and self-managed with a high degree of analytical ability and intellectual curiosity.</li></ul></div>

Sr. Data Analyst - Pro Experience

<div>Position Purpose:
A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts to apply established and create new analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of more experienced managers and data scientists. 
Key Responsibilities:<ul><li>
30% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests</li><li>
20% Executes existing reporting and analytical responsibilities</li><li>
20% Ensures the quality of work output by displaying a keen attention to detail</li><li>
20% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture</li><li>
10% Develops additional technical competencies and subject matter expertise within core functional group</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to Manager or 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>
2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.</li><li>
An intermediary understanding of SQL or working directly with MS Access joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.)</li><li>
Experience building reports/analyses with analytical tools (e.g. Excel, JMP, SAS, Mathematica, SPSS, Tableau, etc.)</li><li>
Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)</li><li>
B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field.</li><li>
Work experience with MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems.</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>
2</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>
Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.</li><li>
An unquenchable intellectual curiosity for getting at the underlying story being told within the data.</li><li>
Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.</li><li>
Superior interpersonal skills and ability to collaborate actively and work in a team environment.</li><li>
Ability to quickly learn and adapt to new technologies, tools, and techniques.</li></ul></div>

Sr. Data Analyst, Data Quality

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Sr. Data Analyst, Data Quality