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senior manager decision analytics

data analyst

Centraprise

<div>
 
 Conduct comprehensive data profiling on all source systems (e.g., Snowflake, Foundry, Excel) to identify data characteristics and anomalies.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 Identify, analyze, and document patterns, inconsistencies, and rule violations within datasets. Work closely with development and data quality teams to define, refine, and validate data rules.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Hands-on experience or strong familiarity with Gen-AI toolchains (OpenAI, Azure OpenAI, Hugging Face, etc.), and cloud-native data platforms (Databricks, Snowflake, etc.).
 </li>
 <li>
 Raise, track, and manage data issues that could impact application trust, scalability, or downstream processing.
 </li>
 <li>
 Provide continuous feedback loops to the development team during the development lifecycle, surfacing defects early.
 </li>
 <li>
 Collaborate with various Data Offices and Data Quality (DQ) teams to understand and apply existing business rules.
 </li>
 <li>
 Ensure the consistency and integrity of data quality practices.
 </li>
 <li>
 Contribute to long-term efforts in improving data quality and integrity across all systems.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Proven experience working with large datasets in platforms like Microsoft Excel, Snowflake, and Palantir Foundry.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Strong analytical mindset and an exceptional attention to detail.
 </li>
 <li>
 Experience and proficiency in writing SQL and Python.
 </li>
 <li>
 The ability to "rip into a spreadsheet" to surface insights and discrepancies.
 </li>
 <li>
 Experience in data profiling or data quality analysis.
 </li>
 <li>
 Experience writing data quality rules.
 </li>
 <li>
 Comfortable working cross-functionally with developers, product leaders, and business users.
 </li>
 </ul>
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Insurance Industry knowledge.
 </li>
 <li>
 Experience working as part of agile teams.
 </li>
 <li>
 Curious and persistent in finding the "why" behind data inconsistencies.
 </li>
 <li>
 A self-starter who enjoys solving data puzzles and embraces new challenges.
 </li>
 <li>
 Capable of ramping up quickly on new systems and business domains.
 </li>
 <li>
 Interested in making a strategic, long-term impact on the company's data assets.
 </li>
 </ul>
 
 
</div>

Data Analyst

DetaPent

<div>
 
 Job Position: Data Analyst
 
 
 Location: Atlanta, GA (Remote)
 
 
 Visa : OPT, H4-EAD, GC, Citizen (USA)
 
 
 Interview mode: Telephonic/Microsoft Teams
 
 
 Compensation: $43 - $45 (Negotiable)
 
 
 
 
 
 Client Name: Wells Fargo
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Perform data extraction, transformation, and loading (ETL) processes from multiple data sources
 </li>
 <li>
 Clean, preprocess, and validate data to ensure accuracy and consistency
 </li>
 <li>
 Analyze datasets using Python to identify trends, patterns, and insights
 </li>
 <li>
 Develop and maintain interactive dashboards and reports using Power BI
 </li>
 <li>
 Assist in automating data workflows and reporting processes
 </li>
 <li>
 Collaborate with cross-functional teams to understand data requirements
 </li>
 <li>
 Communicate findings and insights clearly to both technical and non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, Computer Science, Statistics, IT, or a related field
 </li>
 <li>
 Basic to intermediate proficiency in Python (Pandas, NumPy, etc.)
 </li>
 <li>
 Familiarity with ETL processes and data pipelines
 </li>
 <li>
 Hands-on experience with Power BI or similar visualization tools
 </li>
 <li>
 Basic knowledge of SQL
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Good verbal and written communication skills
 </li>
 </ul>
 
 
</div>

Junior Data Analyst

Manhattan Associates

<div>
 
 The Sr. Enterprise Analyst &ndash; Marketing operates as part of a Center of Excellence model, reporting into ETS while being dedicated to support the Marketing organization. This role combines traditional marketing business analysis with a Marketing Data Analyst focus.
 
 
 You will:
 
 <ul>
 <li>
 Serve as the primary liaison between Marketing and ETS, translating business needs into clear requirements and partnering with technical teams and vendors to deliver marketing technology solutions.
 </li>
 <li>
 Act as the primary analytics partner for Marketing, building and maintaining Power BI dashboards and SQL Server&ndash;based data solutions that drive data‑informed decisions.
 </li>
 <li>
 Support and evolve the Marketing Platforms ecosystem, maintain the marketing applications architecture and roadmap, coordinate technical implementations (e.g., SSO integrations), and support procurement activities including contract negotiation and vendor management.
 </li>
 <li>
 Work closely with internal business customers to understand business requirements and lead the creation and analysis of functional designs, configuration of business processes, reports, and data loads for Marketing.
 </li>
 </ul>
 
 
 
 You will help ensure marketing platforms and reporting are reliable, secure, integrated, and aligned to business outcomes.
 
 
 
 
 
 
 
 MINIMUM REQUIREMENTS
 
 
 &ndash;
 
 <ul>
 <li>
 3&ndash;5+ years as a Business Analyst and/or Data Analyst supporting business applications in an enterprise IT environment; marketing tech or marketing analytics experience preferred.
 </li>
 <li>
 Hands‑on experience building Power BI dashboards and working with SQL Server (queries, joins, aggregations, basic performance tuning); strong data analysis, visualization, and data quality assessment skills.
 </li>
 <li>
 Experience supporting SaaS platforms and coordinating vendors/technical teams through implementations and enhancements.
 </li>
 <li>
 Experience with common MarTech platforms (e.g., marketing automation, CMS, webinar/event tools, customer advocacy/community platforms, digital analytics/tag management, personalization tools).
 </li>
 <li>
 Familiarity with CRM‑to‑Marketing workflows (lead lifecycle, campaign taxonomy, scoring, routing) and how they surface in reporting.
 </li>
 <li>
 5+ years&rsquo; experience documenting business process flows (MS Visio or similar).
 </li>
 <li>
 5+ years&rsquo; experience to eliciting, document, and manage business and functional requirements including business process flows (MS Visio or similar), BRD/FRD, user stories, across multiple stakeholders and teams.
 </li>
 <li>
 3+ years&rsquo; experience with Agile delivery (e.g., Jira/Azure DevOps), including writing user stories and acceptance criteria, plus experience with Agile/Waterfall software delivery methodologies.
 </li>
 <li>
 3+ years&rsquo; experience using Jira, Bitbucket, Confluence or similar Agile toolsets.
 </li>
 <li>
 5+ years&rsquo; experience translating requirements into test scripts and supporting testing/UAT.
 </li>
 <li>
 3+ years&rsquo; experience with IT ticketing software (e.g., Quality Center, ServiceNow, Jira).
 </li>
 <li>
 3+ years&rsquo; experience with SharePoint for document management and sharing.
 </li>
 <li>
 Experience with software lifecycle management: intake, prioritization, change control, testing, and release readiness.
 </li>
 <li>
 Vendor management and collaboration with Procurement/Legal/Finance on contracts and renewals.
 </li>
 <li>
 Working knowledge of identity and access concepts (SSO, SAML/OIDC, user provisioning) and coordinating technology integrations and implementations.
 </li>
 <li>
 Understanding of integration concepts (APIs, data sync, middleware/iPaaS) and data flow mapping.
 </li>
 <li>
 High proficiency in Microsoft Office products.
 </li>
 <li>
 Ability to learn, understand, and adopt new software platforms and processes.
 </li>
 <li>
 Governance mindset for metrics, definitions, and reporting assets.
 </li>
 <li>
 Excellent communication skills&mdash;able to translate between technical teams, data concepts, and non‑technical stakeholders.
 </li>
 <li>
 Experience working with small, geographically distributed teams and operating both independently and collaboratively.
 </li>
 <li>
 Ability to be flexible while delivering assignments, understanding that deliverables may change based on business needs.
 </li>
 <li>
 Comfort operating in ambiguity and driving decisions with incomplete information.
 </li>
 </ul>
 
 
 
 
 
 
 EDUCATION REQUIREMENTS
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, information systems, marketing analytics or equivalent
 </li>
 </ul>
 
 
</div>

Marketing Data Analyst

The Home Depot

<div>Position Purpose:
The Digital Content Data Analyst serves as the primary product data category lead for the Digital Content team. You would be responsible for keeping team projects on-task and within expectations of project timelines. You would work with Digital Content Managers/leadership to prioritize projects and own deliverables of the team. You would be the primary point of contact for product data quality, presentation and promotions for the merchandising category on homedepot.com. You would develop and maintain the day-to-day relationships with internal and external partners i.e., Direct Fulfillment Merchants, HD.com business partners, suppliers, etc. to support data initiatives online. 
Key Responsibilities:<ul><li>
30% Become the subject matter expert for assigned product category online. Learn and report on best practices, industry standards, and legal requirements associated with assigned projects.</li><li>
10% Responsible for category product data projects and status reporting SKU collection and maintenance, product cross merchandising online, product presentation, etc.</li><li>
15% Measure ongoing effectiveness of programs against metric targets. Develop and execute ongoing enhancement/optimization strategy based on measured performance and customer feedback.</li><li>
10% Responsible for prioritizing projects, tasks to ensure deliverables and goals are met or exceeded.</li><li>
10% Coordinate integrated teams from one or more external agencies or functional organizations supporting managed initiatives.</li><li>
10% Troubleshoot and problem solve for ongoing operational needs as they arise - store sku alignment, online product availability, etc.</li><li>
10% Ability to author clear, concise end user/training materials for processes.</li></ul> 

Direct Manager/Direct Reports:<ul><li>
Position reports to Manager, Digital Content</li><li>
Position has 0 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><li>
No associates report to this role on a permanent basis, but requires the leadership of a work group: assign and review work, train and contribute to performance appraisal (but not hiring, firing or disciplinary action).</li></ul> 

Preferred Qualifications:<ul><li>
Data analysis</li><li>
Experience in E-commerce, data management, process analysis and improvement</li><li>
Ability to handle and prioritize multiple tasks</li><li>
Outstanding written and verbal communication skills</li><li>
Effective interpersonal and problem solving skills</li><li>
Strong decision making and problem solving skills</li><li>
Proficiency in Microsoft Excel and Access</li><li>
Ability to lead and manage cross functionally</li><li>
Strong organizational, analytical and customer service skills</li><li>
Positive, upbeat, can-do, professional and responsible attitude, independent and self-directed yet also team oriented</li><li>
Influential; practiced in negotiating with others in ways that result in win-win outcomes</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>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Digital Content Data Analyst

CBRE

About the role
 In this role youprovide support to an Asset Management team and its private equity real estate clientby managing data and analytics for its nationwide multifamily portfolio. Thisrole requires a highly analytical, tech‑forward person that enjoys portfolio reportingand analytics. This role is ideal for candidates with a background in math,statistics, computer science, or engineering, who are passionate about workingwith large datasets, building scalable reporting tools, and leveragingartificial intelligence to improve productivity and insight generation for adynamic team in the commercial real estate sector.
 
What you’ll do
 PortfolioReporting & Analytics Build, maintain, and enhance portfolio‑wide dashboards and reporting tools in Power BI and advanced Excel. Develop automated reporting workflows to streamline recurring deliverables and reduce manual processing. Manage and analyze large datasets across the nationwide multifamily portfolio to identify trends, operational insights, and performance drivers.
 Data QualityManagement Ensure data accuracy, completeness, and consistency in client’s Power BI REBA platform. Be able to draw conclusions and identify patterns from large multifamily data sets. Set up new deals, verify information flows correctly, and troubleshoot issues that arise.
 Technology,AI, & Innovation Use artificial intelligence tools (e.g., Microsoft Copilot, generative AI workflows, automation scripts) to accelerate reporting, analysis, and insight generation. Identify opportunities to incorporate AI into day-to-day tasks, increasing efficiency in internal & external processes. Recommend improvements in workflows, reporting structures, and analytics capabilities.
 ClientInteraction Serve as the day‑to‑day point of contact for the client’s IT-related data initiatives. Assist with property data capture and coordinate survey responses from our partners and property management teams. Collaborate with asset managers, operations teams, and technology partners to deliver actionable insights and ensure reporting needs are met.
 What you’ll need 0–2 years of experience in data analysis, reporting, or a similar analytical role. Strong proficiency in advanced Excel (Power Query, data modeling, complex formulas, automation experience preferred). Experience building visual dashboards in Power BI (or comparable BI tool). Ability to manage, analyze, and interpret large datasets with accuracy. Comfort using or learning AI productivity tools to enhance workflows. Strong attention to detail, organization, and documentation discipline.
 <ul>
<li>Bachelor’s degree Mathematics, Statistics,Computer Science, Engineering, or a related quantitative field.</li>
</ul>
Preferred Experience with SQL, Python, or other coding languages for data automation. Background or interest in commercial real estate, especially multifamily — not required but a plus. Experience working with enterprise data platforms such as REBA or similar systems.
 Why CBRE?
 When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values — respect, integrity, service and excellence — and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.
 Our Values in Hiring
 At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications.
 Applicant AI Use Disclosure
 We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.
 Disclaimers
 Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
 About CBRE Group, Inc.
 CBRE Group, Inc. (NYSE: CBRE), a Fortune 500 and S&P 500 company headquartered in Dallas, is the world’s largest commercial real estate services and investment firm (based on 2024 revenue). The company has more than 140,000 employees (including Turner & Townsend employees) serving clients in more than 100 countries. CBRE serves clients through four business segments: Advisory (leasing, sales, debt origination, mortgage serving, valuations); Building Operations & Experience (facilities management, property management, flex space & experience); Project Management (program management, project management, cost consulting); Real Estate Investments (investment management, development). Please visit our website at www.cbre.com.
 CBRE carefully considers multiple factors to determine compensation, including a candidate’s education, training, and experience. The minimum salary for the Assistant Facilities Manager position is $80,000 annually [or $38.46 per hour] and the maximum salary for the Assistant Facilities Manager position is $85,000 annually [or $40.87 per hour]. The compensation that is offered to a successful candidate will depend on the candidate’s skills, qualifications, and experience.
 Equal Employment Opportunity: CBRE is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.
 
Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company’s success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).

Private Equity Data Analyst

<div>Position Purpose:
A Data Analyst Supply Chain leverages technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively with other analysts to apply established 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 seeking out opportunities to hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and learn new skills. Operates under the supervision and mentorship of more experienced managers and data scientists. 
Key Responsibilities:<ul><li>
30% Executes existing reporting and analytical responsibilities</li><li>
20% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests</li><li>
20% Ensures the quality of work output by displaying a keen attention to detail</li><li>
20% Develops additional technical competencies and subject matter expertise within core functional group</li><li>
10% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This postion reports to 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>
Work experience with SQL Server, Teradata, Oracle, or comparable database systems</li><li>
1-3 years work experience in data mining, statistical analysis, auditing, and/or forecasting.</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></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
0</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
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>

Data Analyst - Solutions Strategy, Analytics

<div>Position Purpose:<div>
The Lead Data Analyst will serve as a principal strategic partner and technical anchor for the CX Analytics team supporting The Home Depot's Pro Product team. This individual will own the end-to-end analytics lifecycle for critical Pro workstreams, driving active engagement with stakeholders to shape business requirements and turn complex specifications into high-quality deliverables.</div><div></div><div>
Acting as a trusted advisor to leadership, product managers, and UX designers, the Lead Analyst will define data requirements, architect reporting frameworks, and translate complex datasets into compelling, actionable narratives that directly influence the Pro Product strategy. Utilizing expert-level SQL, Python, Tableau, and emerging AI technologies, this role will champion data-driven problem-solving, spearhead innovation (including AI/GenBI integration), and establish the gold standard for analytics governance and knowledge management across the team.</div> 
Key Responsibilities:<ul><li>
20% - Business Collaboration - Leverage extensive business knowledge into solution approach. Effectively develop trust and collaboration with internal customers and cross-functional teams. Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.</li><li>
25% - Project Management &amp; Team Support - Lead and manage large and complex projects and teams. Provide direction on prioritization of work and ensure quality of work. Collaborate with managers and team in the distribution of workload and resources. Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics. Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics. Ensure the team comprehends and applies the established processes and standards and mentor team on development.</li><li>
30% - Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners. Clearly communicate impacts of recommendations to drive alignment and appropriate implementation. Develops solutions to transform data into useful, actionable information.</li><li>
25% - Technical Exploration &amp; Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs. Provide technical education on advanced analytics to analytics community. Drive analytics teams to get matured in predictive and prescriptive analytics.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to the Manager</li><li>
This position has 0 direct reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% 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 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li><div>
Proven experience in a technical project leadership and strategic ownership role.</div></li><li><div>
Expert-level proficiency with SQL and complex script development.</div></li><li><div>
Advanced experience architecting and deploying reports in Tableau.</div></li><li><div>
Strong proficiency in Python for data manipulation, statistical analysis, and automation.</div></li><li><div>
Demonstrated enthusiasm and practical knowledge of leveraging AI/Machine Learning applications for business insights.</div></li><li><div>
Exceptional data storytelling skills with the ability to translate technical findings for non-technical leadership.</div></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>
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Minimum Years of Work Experience:<ul><li>
6</li></ul> 
Preferred Years of Work Experience:<ul><li>
7</li></ul> 
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Preferred Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Develops Talent</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Lead Data Analyst - CX Analytics (Pro Product)

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