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senior analyst, marketing analytics

acquisitions analyst: lihtc equity investments Jobs in Atlanta

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advisor, workforce analysis

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analyst, investments & capital markets

business intelligence analyst

The Home Depot

<div>Position Purpose:
This position will have primary responsibility for the development and maintenance of vendor dashboards to determine financial performance. The business analyst will develp dashboards to track category and program performance that will provide the merchandising group function with the ability to review data that will provide attributes to make informed deicisons regarding category performance. The business analyst contributes in a lead role to the merchandising group function in the evaluation, design development, and implementation of stardardized reporting, business processes and information systems solutions. This allows customers (the associates in the merchandising function) to maximize their productivity and make sound, effective decisions based on consistent, accurate information. The business analyst handles the front-end of the project life cycle; ensuring the business need and requirements are defined and scoped accurately. 
Key Responsibilities:<ul><li>
20% Plan and lead all phases of a project's life cycle (i.e. feasibility, design implementation, evaluation); this inclues extracting the business need; defining the business requirements, understanding the impact on the business, and designing and carrying out the project(s)</li><li>
10% Serve as liaison between merchandising and finance by facilitating meetings including both departments</li><li>
10% Mentor other analysts in developing/honing business knowledge and analytical skills</li><li>
20% Servce as a subject matter expert and perform research and/or analysis within assigned projects</li><li>
20% Multi-task to work on 2 to 4 projects simultaneously, recommending process improvements and making final project recommendations which impact the business</li><li>
20% Establish and report on metrics of assigned projects to guage business value</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a director-level position within merchandising</li><li>
No direct reports, however, the position will be required to mentor others who have the need for assistance</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 eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Bachelor's Degree</li><li>
Experience with Market Max reporting system</li><li>
Good communication skills (written and verbal)</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Competencies:<ul><li>
Strong project management skills, including strong process orientation, ability to work in a cross-functional team environment</li><li>
Good communication skills, including ability to interact with officers, also needs the ability to negotiate and persuade</li><li>
Strong analytical skills and general understanding of technical concepts</li><li>
Ability to establish priorities and procedures for accomplishing work within established deadlines; ability to handle multiple projects and manage toward deadlines and deliverables</li><li>
Proven leadership skills, including a willingness and ability to be a mentor</li></ul></div>

Business Analyst

<div>
 Req159943
 
 
 
 Position Purpose
 
 
 
 Decision Analytics associates produce insights that answer key enterprise questions around budget, priorities, courses of action, and important decisions. They develop frameworks for analysis by identifying the right metrics for consistent, effective insights that drive business outcomes. Decision Analytics associates are skilled in advanced analytics and analytical tools and languages such as GCP Big Query, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau. While they may have the ability to support model development and AI/ML work, they are primarily focused on internal business insights (i.e., business intelligence). Decision Analytics associates possess the domain expertise to understand the businesses they support with their analysis.
 
 
 Senior Decision Analysts assist in the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical tools, and collaborating with cross- functional teams to deliver high quality analytical solutions for The Home Depot. The Senior Decision Analyst monitors transformation of data and works with appropriate technology teams to resolve issues relating to incorrect mapping, business rules, and data deviations. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights for business clients, internal teams and key decision makers.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
 </li>
 <li>
 10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.
 </li>
 <li>
 5% - Project Management &amp; Support - Supports end users, solve problems and troubleshoots numerous issues.
 </li>
 <li>
 15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.
 </li>
 <li>
 5% - Technical Exploration &amp; Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.
 
 
 </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>
 No travel required.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be 18 years of age or older.
 </li>
 <li>
 Must be legally permitted to work in the United States.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience
 </li>
 <li>
 6+ years of experience in in data mining, statistical analysis, auditing, and/or forecasting
 </li>
 <li>
 Demonstrated expertise on data analysis and data visualization
 </li>
 <li>
 Demonstrated expertise on how to translate analysis into effective presentations
 </li>
 <li>
 Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems
 </li>
 <li>
 Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools
 </li>
 <li>
 Working knowledge of Microsoft Excel and Power Point
 </li>
 <li>
 Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations
 </li>
 <li>
 Produce deep, statistical analysis in service of predictive insights
 </li>
 <li>
 Ability to partner with requesting organizations to build KPI frameworks
 </li>
 <li>
 Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML
 </li>
 <li>
 Ability to visualize data using Tableau
 </li>
 <li>
 Experience managing multiple projects and working in a fast-paced environment
 </li>
 <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>
 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>
 
 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>
 5
 
 
 </li>
 </ul>
 
 Preferred Years Of Work Experience
 
 
 
 <ul>
 <li>
 6
 
 
 </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>
 Drives Results
 </li>
 <li>
 Manages Conflict
 </li>
 </ul>
</div>

ONLINE SR DECISION ANALYST

<div>Position Purpose:
The Senior Data Analyst will play a pivotal role on the CX Analytics team supporting The Home Depot's Pro Product segment. This individual will transform complex data into compelling, actionable narratives that drive strategy and enhance end-to-end experience for Pro customers. Acting as a strategic partner, the Senior Analyst will partner closely with product managers, UX designers, engineers and business stakeholders to determine requirements and translate complex data into actionable insights that influence roadmap decisions. The ideal candidate is a hands-on analyst with advanced SQL expertise, strong Python and Tableau skills, and the ability to tell clear, compelling stories with data. This individual thrives in ambiguity, proactively identifies opportunities, and is enthusiastic about applying AI and advanced analytics to elevate how insights are generated and consumed. 
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 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>
Advanced proficiency in SQL for complex data extraction and manipulation.</li><li>
Strong experience with Tableau (or equivalent BI tools) for dashboarding and executive-ready reporting.</li><li>
Solid Python skills for data analysis, statistical modeling, or automation.</li><li>
Proven ability to translate data into clear, compelling stories tailored to non-technical audiences.</li><li>
Demonstrated enthusiasm for and understanding of AI applications in analytics.</li><li>
Strong problem-solving skills with the ability to work through ambiguity.</li><li>
Demonstrated success partnering with cross-functional stakeholders.</li><li>
High level of curiosity, ownership, and bias toward action.</li><li>
Previous experience in Customer Experience (CX) analytics, Product Analytics, B2B customers or a closely related 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>
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>

Senior Data Analyst - CX Analytics (Pro Product)

<div>Position Purpose:
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. 
Key Responsibilities:<ul><li>
70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to manager or above
</li><li>This position has 0 direct reports</li></ul> 

Travel Requirements:<ul><li>
No travel required.</li></ul> 

Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 

Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
3+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience running queries against data (preferably with Google BigQuery or SQL)</li><li>
Experience in predictive modeling, data mining and data analysis</li><li>
Experience with data visualization software (preferably Tableau)</li><li>
Experience utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Basic knowledge or exposure to predictive modeling, data mining and data analysis</li></ul> 

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

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

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

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

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

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

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

Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Associate Data Scientist - Solutions Strategy

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

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:
As a Senior Analyst on the Online Experimentation Team, you will help cross-functional stakeholders examine new ideas by formulating hypotheses and designing experiments to test those hypotheses - translating problem statements into experiment requirements, allowing them to accurately quantify the impact of their features. You will monitor and evaluate experiment results to measure impact and inform future strategies. You will continuously stay up to date with industry trends and best practices in experimentation and personalization.
Key Responsibilities:<ul><li>
65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.</li><li>
10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.</li><li>
5% - Project Management &amp; Support - Supports end users, solve problems and troubleshoots numerous issues.</li><li>
15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.</li><li>
5% - Technical Exploration &amp; Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.</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>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Expand descriptive and prescriptive analysis for experimentation: Enhance data capture for experiments. Conduct in-depth analyses to identify patterns and trends. Apply advanced statistical methods to recommend actionable insights that clarify impacts and resolve discrepancies. Set standards and guidelines for process and analysis.</li><li>
Effective Storytelling with Data: Create visualizations and compelling narratives for complex situations and trends; tailoring explanations to a variety of audiences.</li><li>
ML &amp; AI for experimentation: Automate and enable more intuitive data querying and analysis. Explore various tools to enhance team capabilities. Develop scalable frameworks to detect recurring patterns across experiments.</li><li>
Effective Communication &amp; Collaboration: Comfortable with collaborating with team members and cross-functional partners.</li><li>
Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience</li><li>
6+ years of experience in in data mining, statistical analysis, auditing, and/or forecasting</li><li>
Demonstrated expertise on data analysis and data visualization</li><li>
Demonstrated expertise on how to translate analysis into effective presentations</li><li>
Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems</li><li>
Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations</li><li>
Produce deep, statistical analysis in service of predictive insights</li><li>
Ability to partner with requesting organizations to build KPI frameworks</li><li>
Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML</li><li>
Ability to visualize data using Tableau</li><li>
Experience managing multiple projects and working in a fast-paced environment</li><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>
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> 
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>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
6</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>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Online Senior Decision Analyst – Experimentation

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