senior data mining analyst

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
The purpose of the Senior Data Analyst for Product Data Insights &amp; Tooling is to turn our vast item catalog into a high-performance engine for decision-making. The Senior Data Analyst is responsible for leveraging complex, large-scale data to derive actionable insights that directly influence and support executive-level merchandising strategy. This role requires a blend of advanced technical data manipulation skills and a deep understanding of retail merchandising principles to translate raw data into clear, impactful business recommendations. In this position, the Senior Data Analyst will build and support automation, leverage AI tooling, and collaborate cross-functionally in alignment with the executive strategy. The position requires knowledge of merchandising, an analytical skillset, and an entrepreneurial mindset.</p><p></p><p>
Key responsibilities include:</p><ul><li>
Manipulating and analyzing large, complex datasets to identify trends, patterns, and opportunities related to category and product performance, customer behavior, and market dynamics.</li><li>
Translating analytical findings into concise, compelling recommendations and presenting them to leadership to inform and validate merchandising strategies.</li><li>
Developing and maintaining dashboards and reports to track key performance indicators, effectively communicating merchandising insights to cross-functional stakeholders.</li><li>
Partnering with cross-functional teams to align analytical projects with overarching business goals and providing data-driven guidance.</li></ul><p><b><br>
Key Responsibilities:</b></p><ul><li>
Represents the Merchandising function in business process evaluation, procedural development, systems requirements definition and systems functional design.</li>
Project/Initiative Management<li>-Partners with senior and department management and cross-functional teams in determining and defining business need/requirements; project plans, risk assessments, communication, implementation, training and change management</li><li>
Manages the business and project team expectations including addressing project issues, changes; May directly supervise staff members in the development, implementation and support of applications and business processes to meet the client's business requirements.</li><li>
Driving the requirements gathering efforts for a project (either development or implementation), including managing the expectations of the project manager, the stakeholders, the project team and executive management.</li><li>
Proposing alternatives and solutions to requirements management for each project that most closely aligns with the specific timetables, objectives and business issues at hand.</li><li>
Consulting with cross-functional managers, project managers, management and customers to ensure that all projects undertaken adequately address requirement related issues. Understanding the business case behind all projects, including the motivating factors for all stakeholders. Working with the Business Manager to analyze all potential opportunities to enhance, improve and refine the requirements gathering processes.</li><li>
Establishes and reports on metrics of assigned projects to gauge business value (ROI).; Audits and evaluates implemented projects (systems/processes, for example) to support continuous improvement opportunities.</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
Typically reports to Manager or Senior Manager Merchandise Mgt Systems</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><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Business, Analytics, Data Science, or a related field.</li><li>
3-5+ years of experience in a data analytics role, preferably within a retail or merchandising environment.</li><li>
Proven expertise in manipulating and analyzing large datasets using SQL and/or other programming languages (e.g., Python, R).</li><li>
Strong proficiency with data visualization tools such as Tableau or Power BI.</li><li>
Excellent ability to communicate complex data concepts and recommendations to both technical and non-technical audiences, including senior leadership.</li></ul><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
5</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Proficient in business process evaluation and procedure development; Demonstrates a thorough knowledge of all tools, processes, methodologies and standards for requirements gathering, documentation and analysis.</li><li>
Previous experience supervising professionals</li><li>
Experience or in-depth knowledge of retail merchandising and/or logistics; possesses cross functional retail knowledge.</li><li>
Strong communication, analytical, organizational, leadership and teamwork skills; Demonstrated experience in process improvement and/or SDLC and project management methodology</li><li>
PC proficiency, including knowledge of worksheet, word processing, project management and presentation applications</li></ul></div><p></p>

Senior Analyst, Item Data Management – Data Quality

<div><b>Position Purpose:</b><p>
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.</p><b><br>
Key Responsibilities:</b><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><br>
<b>
Direct Manager/Direct Reports:</b><ul><li>
This position reports to Manager or Sr Manager</li><li>
This position has no Direct Reports</li></ul><br>
<b>
Travel Requirements:</b><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><br>
<b>
Physical Requirements:</b><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><br>
<b>
Working Conditions:</b><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul><br>
<b>Minimum Qualifications:</b><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><br>
<b>
Preferred Qualifications:</b><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><br>
<b>
Minimum Education:</b><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><br>
<b>
Preferred Education:</b><ul><li>
No additional education</li></ul><br>
<b>
Minimum Years of Work Experience:</b><ul><li>
2</li></ul><br>
<b>
Preferred Years of Work Experience:</b><ul><li>
No additional years of experience</li></ul><br>
<b>
Minimum Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Preferred Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Certifications:</b><ul><li>
None</li></ul><br>
<b>
Competencies:</b><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

البنك التجاري الدولي

<div></div><div><div>Description<div></div><p><b><br>
KEY ACCOUNTABILITIES</b></p>
<p><b>
Roles and Responsibilities</b></p>
<div>
1. Act as a technical supervisor and coach for junior team members (Data Scientists)</div>
<div>
2. Manage and support project pipeline and delivery for own projects and junior team members&rsquo; projects.</div>
<div>
3. Initiate and drive Data Science projects to completion with minimal guidance</div>
<div>
4. Translate business problems from different departments into well-defined data science initiatives</div>
<div>
5. Build and validate data modelling hypothesis for advanced data science initiatives</div>
<div>
6. Gather, validate, process, prepare and explore data in order to find hidden insights and patterns</div>
<div>
7. Analyse data patterns to extract knowledge, generate effective recommendations for advanced data science and machine problems</div>
<div>
8. Apply advanced knowledge in statistics and data-mining to see beyond the numbers and understand how customers interact with bank&rsquo;s products and services</div>
<div>
9. Research and build complex data science and machine learning algorithms to solve various business problems</div>
<div>
10. Work closely with stakeholders and executive leadership to communicate modelling results, insights and data-driven business recommendations
</div><p><b>Policies, Processes and Procedures</b></p>
<div>
11. Follow all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner</div>
<p><b>
Day-to-day Operations</b></p>
<div>
12. Follow the day-to-day operations related to own jobs in the Analytics &amp; Data Management department to ensure continuity of work
</div><p><b>Compliance</b></p>
<div>
13. Comply with all relevant CBE regulations, banking laws, AML regulations and internal CIB policies and code of conduct in order to maintain CIB&rsquo;s sound legal position and mitigate any potential risks</div><div><br>
</div></div><div>
Qualifications<div></div><p><b><br>
QUALIFICATIONS, EXPERIENCE, &amp; SKILLS</b></p>
<p><b>
Qualifications &amp; Experience</b></p>
<p>
&sect; Bachelor&rsquo;s Degree with strong academic performance in a quantitative field (Computer Science, Statistics/Mathematics, Actuarial Science, Operations Research, Industrial Engineering&hellip;etc.)
</p><p>&sect; Master's Degree in a quantitative or business field is a plus</p>
<p>
&sect; 2-5 years of previous work experience in data science or advanced analytics related jobs</p>
<div>
&sect; Prior formal or informal leadership experience is preferred</div>
<p>
&sect; Experience in banking industry would be a plus</p><br>
<p></p>
<p><b>
Skills</b></p>
<p>
&sect; Excellent verbal, written communication and presentation skills</p>
<p>
&sect; Good leadership and project management skills with experience in leading large projects</p>
<p>
&sect; Ability to present complex issues clearly, both verbal and written, is essential</p>
<p>
&sect; Solid programming skills for statistical analysis and modelling purposes (R or Python are preferred)</p>
<p>
&sect; Strong quantitative analytical capabilities combined with experience in dealing with large and/or complex data sets</p>
<p>
&sect; Good experience with query languages (SQL)</p>
<p>
&sect; Attention to detail, strong computational and critical thinking skills</p>
<p>
&sect; Excellent user of Microsoft Excel</p>
<p>
&sect; Combination of creative abilities and business knowledge</p>
<p>
&sect; Good knowledge and hands-on experience in applied data mining and machine learning techniques</p>
<p>
&sect; Knowledge of visualization tools (Tableau, etc...) is a plus</p><div><br>
</div></div><div>
Primary Location: Egypt-Giza-GIZA HEAD OFFICE</div><div>
Job: Back Office</div><div>
Organization: FINANCE, STRATEGY, OPERATIONS &amp; TECHNOLOGY</div><div>
Shift: Day Job</div><div>
Job Type: Full-time Employee</div></div>

SENIOR DATA SCIENTIST

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Senior Lead Data Analyst - R01565187</b></h1>
<p></p><div><b>About Brillio:<br>
</b></div><div></div><br>
<div>Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as &quot;Brillians&quot;, distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
</div><div>Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work&reg; certification year after year.</div><div></div><div><b><br>
Senior Lead Data Analyst</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul>
<li>Spark - Pyspark, SQL, SQL (Basic + Advanced), Python, Hive, Data Modelling Fundamentals</li>
</ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul>
<li>Data Analyst</li>
</ul>
<div><div><b>Job Duties and Requirements:</b></div><br>
<div></div>
<div>
Lead Data Analyst needed in New York, NY and various unanticipated locations throughout the U.S. Utilize the power of solutions that can be driven through Visualization and ETL tools.</div>
<div>
Establish connection with different teams to evaluate the automation and service management offerings Python can bring in.</div>
<div>
Drive discussions with various teams to foresee opportunities to unify the operations console across businesses. Implementation of Customer Dashboard and Reports for real-time performance view of SLA.</div>
<div>
Work on SQL Server (or client specific RDBMS) developing customized codes and testing. Responsible for creating operational insights for telecom network related data from Fuze and integrate with other data sources to identify revenue growth/cost optimization/operational efficiency opportunities. Interpret data and define new KPIs for data analysis from multiple sources.</div>
<div>
Use data visualization and other data-gathering methods to either provide internal strategic direction or guide decisions for other teams for new tower builds, OFS analysis, Fallout analysis, compliance and usage adoption.</div>
<div>
Work on acquiring data from primary or secondary data sources and preserve the data integrity of these sources using SQL, Python and other analytical tools.</div>
<div>
Create powerful data visualizations using tools like Tableau and Looker. Focus on the overall service quality and timely execution of the project.</div>
<div>
Active participation and contribution to all service improvement initiatives to ensure they are aligned to our customers&rsquo; expectations.</div>
<div>
Successfully implement multiple Analytics/IT projects by providing the technology knowledge and vision to support the company&rsquo;s business objectives and evaluate and recommend all software for business processes.</div>
<div>
Be accountable for all aspects of service delivery in conceptualization, planning, design, automation, transition and delivery.</div>
<div>
Understand clearly operational definitions for all processes; understand how to measure all critical data points in the processes, improve any irregularities reported because of the Metrics Dashboards.</div>
<div>
Proactively initiate Process Improvements keeping in mind inputs from Audit Process. Manage Process &amp; Framework.</div>
<div>
Must have a Master&rsquo;s degree (or foreign equivalent) in Computer Science, Engineering (any) or related field plus two (2) years of IT experience. Two (2) years of IT experience must include experience in SQL Server or Azure.</div>
<div>
In the alternative, we will accept a Bachelor&rsquo;s degree (or foreign equiv.) in Computer Science, Engineering (any) or related field, plus five (5) years of progressive experience.</div>
<div>
Two (2) years of the five (5) years of progressive experience must include experience with SQL Server or Azure.</div>
<div>
We will accept any suitable combination of education, training, or experience. All experience may be acquired concurrently.</div>
<div>
Travel and relocation may be required. Standard Corporate Benefits.</div><br>
<div></div>
<div><b>
Job Location:</b> New York, NY</div>
</div><h6 class="jobSectionHeader"><b>
Job requirements</b></h6><ul>
<li>118404-Suyash Kunawat</li>
</ul><div></div><div>
Know what it&rsquo;s like to work and grow at Brillio: Click here</div><br>
<b>
Salary: 125,000-130,000 USD per year salary</b></div><p></p>

Senior Lead Data Analyst – R01565187

Agoda

<div>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 <br/>
 <br/>
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 <br/>
 <br/>
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 <br/>
 <br/>
 <strong>
  Get To Know Our Team
  <br/>
  <br/>
 </strong>
 The People Team is a purveyor of opportunity, searching the globe for the most talented individuals and offering them an open, collaborative workplace. By prioritizing skill and potential, we have cultivated a powerful assembly of professionals through our drive for equal opportunity and diversity. We make the move to Agoda a breeze with assisted onboarding programs, and we continue to support and enrich our thousands of Agoda employees through individual growth with outstanding learning programs and various means of assistance. Our development of incredible benefits has ensured everyone can stay strong, healthy, and happy during their time at Agoda. Leading ambitious changes and making a positive impact in the lives of our employees, the People Team is a crucial and rewarding part of the Agoda family.
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 The Senior People Data Analyst will contribute to the People Planning &amp; Analytics organizations&rsquo; success by providing pro-active analysis around People data, working with People Team and other Business stakeholders to identify patterns and provide actionable recommendations. As part of the organization, you&rsquo;ll be working actively on budgeting activities and process and progressive improvement of the tools and processes of the team. This role collaborates closely with Finance and People team stakeholders to ensure activities are aligned with Agoda&rsquo;s strategic goals and Personnel budget. The rapid growth of the business and the increasing complexity driven by new launches and services make this an exciting, and challenging proposition.
 <br/>
 <br/>
 <strong>
  In this Role you'll get,
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Add immediate value to the organization by delivering insightful analysis, dashboards and presentations to business &amp; leadership about People data (recruitment, attrition, performance) to support long-term strategic decision making
  </li>
  <li>
   Get involved in the operational Budgeting and Workforce planning of the company
  </li>
  <li>
   Provide financial analysis &amp; commentary on month-end financials &amp; KPIs/OKRs
  </li>
  <li>
   Be a trusted advisor to Business Partners across the organization
  </li>
  <li>
   Enhance the understanding and key levers of the Agoda business
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need To Succeed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree required
  </li>
  <li>
   3-5 years of experience as Data analyst, preferably in an HR environment
  </li>
  <li>
   2-3 years of practical experience with MSSQL (or equivalent database), Tableau visualization
  </li>
  <li>
   High level of discretion, confidentiality and ethics
  </li>
  <li>
   Ability to work well with employees in a highly multi-cultural environment
  </li>
  <li>
   Strong attention to detail and accuracy
  </li>
  <li>
   Self-starter with ability to work independently, while also collaborating with cross-functional teams
  </li>
  <li>
   Ownership mindset and ability to meet tight deadlines with a logical, methodical approach to prioritizing tasks and responsibilities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Great if you have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with OneStream software
  </li>
  <li>
   Workforce planning and Budgeting experience
  </li>
  <li>
   Commercial awareness, ability to think both analytically and strategically, to identify about underlying business issues
  </li>
  <li>
   Willingness to challenge the status quo and propose improvements in existing processes
  </li>
  <li>
   Curiosity and willingness to get involved in the business to understand the story behind the numbers
   <br/>
   <br/>
  </li>
 </ul>
 #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz  #baku #minsk #brussels #antwerp #ghent #charleroi  #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra  #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester  #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi
 <br/>
 <br/>
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 <br/>
 <br/>
 <strong>
  Discover More About Working At Agoda
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Agoda Careers https://careersatagoda.com
  </li>
  <li>
   Facebook https://www.facebook.com/agodacareers/
  </li>
  <li>
   LinkedIn https://www.linkedin.com/company/agoda
  </li>
  <li>
   YouTube https://www.youtube.com/agodalife
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 <br/>
 <br/>
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 <br/>
 <br/>
 <strong>
  Disclaimer
  <br/>
  <br/>
 </strong>
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 <br/>
 <br/>
</div>


Senior People Data Analyst (Bangkok Based, relocation provided)

Moove

<div>
 <strong>
  About Moove
  <br/>
  <br/>
 </strong>
 Moove is building the world&rsquo;s largest fleet and best-in-class technologies to power mobility platforms. Our flagship Drive-to-Own (DTO) product democratises access to vehicle ownership with a revolutionary revenue-based financing model, enabling underserved mobility entrepreneurs to thrive.
 <br/>
 <br/>
 Our global growth has been fuelled by our partnership with Uber and backed by leading investors and lenders, including Uber, Mubadala, BlackRock, and many others. Today, Moove operates the world's largest manned &amp; autonomous ride-hail fleet, with 38k+ vehicles across 29 cities, 13 countries and 6 continents enabled by 2.1k+ employees &ndash; Moove continues to expand through strategic partnerships with industry leaders like Uber. We&rsquo;re transforming mobility to be safer, more efficient, and accessible to all, while creating economic opportunities and supporting skills development in the mobility sector
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a Senior Data Analyst who can independently lead the design and delivery of high-impact BI dashboards, data models, and actionable insights to drive strategic decision-making across the organization. This role goes beyond traditional reporting, it involves full ownership of business problems, from identifying critical questions to delivering data-driven solutions and ensuring actions are implemented based on insights. The ideal candidate is both technically strong and business-savvy, capable of working autonomously while engaging stakeholders in adopting a data-informed culture.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Be Doing
  <br/>
  <br/>
 </strong>
 This role exists to empower the business with reliable, timely, and actionable data insights that directly impact key decisions.
 <br/>
 <br/>
 Critical outcomes for the next 6-12 months include:
 <br/>
 <br/>
 <ul>
  <li>
   Developing and deploying self-service BI dashboards that are actively used by stakeholders across departments.
  </li>
  <li>
   Delivering data models and insights that directly influence strategic decisions.
  </li>
  <li>
   Establishing a proactive analytics culture where stakeholders seek and apply data in decision-making.
   <br/>
   <br/>
  </li>
 </ul>
 Core Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Proactively identify business opportunities and challenges that can be addressed with data.
  </li>
  <li>
   Identify the best methods for data visualization to provide meaningful insights.
  </li>
  <li>
   Build and ship self-service data models and reports that drive weekly business decisions.
  </li>
  <li>
   Own the full analytics lifecycle without requiring management intervention.
  </li>
  <li>
   Drive action based on insights, not just deliver reports.
  </li>
  <li>
   Continuously educate stakeholders on data-informed decision making.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Need For This Position
  <br/>
  <br/>
 </strong>
 5+ years of experience in data analytics, BI development, or a similar role.
 <br/>
 <br/>
 <ul>
  <li>
   Proven ability to own analytics projects end-to-end, from scoping to implementation.
  </li>
  <li>
   Strong technical skills in SQL, data modeling, and BI tools (e.g., Power BI, Tableau, or Looker).
  </li>
  <li>
   Excellent data visualization and storytelling skills.
  </li>
  <li>
   Strong business acumen and ability to translate data into actionable insights.
  </li>
  <li>
   Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Metrics
  <br/>
  <br/>
 </strong>
 Delivery of at least three high-impact BI dashboards adopted by business stakeholders in the first year.
 <br/>
 <br/>
 <ul>
  <li>
   Demonstrable improvement in decision-making speed and quality across departments.
  </li>
  <li>
   Increase in self-service analytics adoption rate by at least 30% within 12 months.
  </li>
  <li>
   Positive stakeholder feedback on data accessibility and usefulness.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You'll Be Working with:
  <br/>
  <br/>
 </strong>
 Directly reporting to our Senior Staff Data Scientist, and closely working with our Technology Team.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Our team is collaborative, positive, curious, and engaged. We think fast, work smart, laugh often, and are looking for like-minded people to join us in our mission to disrupt vehicle ownership and make financial freedom within reach.
 <br/>
 <br/>
 Moove is strongly committed to diversity within its community. The Company&rsquo;s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently.
 <br/>
 <br/>
 <strong>
  Pre-hiring Notice:
 </strong>
 Moove relies on the accuracy of information contained in employment applications, as well as the accuracy of other data presented throughout the hiring process and during employment. Any misrepresentations, falsifications, or material omissions in any information or data provided by an applicant may result in the applicant being excluded from further consideration for employment or if an individual has already been hired, termination of employment.
 <br/>
 <br/>
 <strong>
  EEO Statement:
 </strong>
 Moove is an equal opportunity employer and does not discriminate on the basis of gender, race, sexual orientation, marital status, religion, political affiliation or any other protected characteristic.
</div>


Senior Data Analyst | Dubai

<div><p><b>Position Purpose:</b></p><p>
The Senior Analyst Decision Analytics position assists 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. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights, with a passion to learn and develop.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
15% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions</li><li>
65% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
10% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
Reports to a Manager.</li><li>
This position has no direct reports.</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Master's degree in Analytics, Finance, or Information Systems or related field is preferred</li><li>
Two to four years of SQL experience highly preferred</li><li>
Two to four years of experience in analytics is preferred</li><li>
Two to four years of data visualization experience (tableau or power BI or Looker)</li></ul><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
2</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
None</li></ul></div><p></p>

Senior Analyst - Decision Analytics

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