data analysis manager

Walmart

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2>
Position SummaryStep into a pivotal role where data becomes action. As Manager, Data Analytics within Sourcing Solutions PE&amp;A, you&rsquo;ll lead the insights and decision frameworks that shape sourcing strategy across categories and markets. This highly visible opportunity lets you influence senior leaders, accelerate sourcing outcomes, and embed analytics into everyday decision-making. If you&rsquo;re ready to lead through impact, not just analysis, this is your next move.About Process Excellence &amp; Acceleration Team/Sourcing SolutionsSourcing Solutions PE&amp;A simplifies, standardizes, and accelerates sourcing decisions through analytics, process optimization, and scalable insights. The team partners with Sourcing, Product, Merchandising, Finance, and Procurement to turn complex data into trusted intelligence, driving speed, clarity, and value across the Source-to-Contract lifecycle. In this critical leadership role, you&rsquo;ll set analytical standards, shape performance narratives, and ensure insights are embedded in sourcing operations.<p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2><ul><li>
Design and implement business intelligence solutions to identify cost-savings opportunities and ensure adoption.</li><li>
Partner cross-functionally with Product, Sourcing, Procurement, Finance, and Merchandising to align data needs, performance metrics, and insights; driving work with urgency and agility while navigating competing priorities to deliver results.</li><li>
Structure ambiguous problems with prescriptive analytics, root-cause analysis and establish clear, governable business logic.</li><li>
Build and present executive-ready visual stories to drive value-driven actions.</li><li>
Mentor and upskill the team to build analytical bench strength.</li></ul>
<br>
<b>What you&rsquo;ll bring:</b>
<ul><li>Strong analytical and strategic problem-solving skills; experience translating data into actionable intelligence.</li><li>
Data and tech savvy, with AI/ML knowledge in business context and experience pulling, manipulating, and interpreting large datasets; fluency in outcomes-based analysis.</li><li>
Ability to lead through influence with clear, compelling communication.</li><li>
Have proven experience developing practical predictive models in business domain.</li><li>
Background in engineering, statistics, computational science, or related quantitative field.</li><li>
Experience in management consulting, sourcing &amp; procurement, supply chain, or business strategy.</li></ul>
<br>
<i>The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.</i><br>
<br>
<i>Your Career Journey at Walmart:</i><br>
<br>
<i>At Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here&rsquo;s what to expect when interacting with us as recruiters:</i><br>
<br>
<i>We&rsquo;ll reach out via verified LinkedIn profiles or emails ending in &quot;@walmart.com.&rdquo; or &ldquo;@samsclub.com&rdquo;. All job opportunities and applications are hosted on our official careers site: </i><i>http://careers.walmart.com</i><i>. There is no cost or payment required to apply or be considered for a position.</i><br>
<br>
<i>If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart!</i> At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
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For information about benefits and eligibility, see One.Walmart.
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The annual salary range for this position is $80,000.00 - $155,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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<ul><li>Stock</li></ul><p>
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&lrm;</p><h2 class="jobSectionHeader"><b>
Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Minimum Qualifications<br>
Bachelor&rsquo;s degree in Mathematics, Engineering, Economics, Computer Science, or related field and 2 years&rsquo; experience conducting mathematical or statistical research, analysis and modeling intelligence, corporate security, or related area OR 4 years&rsquo; experience conducting mathematical or statistical research, analysis and modeling intelligence, corporate security, or related area.<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Business analysis and reporting, Microsoft Office, Statistical modeling software<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
703 Associate Dr, Bentonville, AR 72716, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

(USA) Manager, Data Analytics

CircleCI

<div><h3 class="jobSectionHeader"><b>About the Role:</b></h3>
<p>
The Manager of Data Science for GTM is a hands-on player coach who leads from the front across Sales, Customer Success, and Marketing analytics. They are deeply technical, opinionated about the GTM analytical agenda, and accountable for both the output of the team and the development of each person on it. They are not a pure people manager &mdash; they roll up their sleeves on the hardest problems, set the standard for what good looks like, and pull the team up through hands-on coaching, technical mentorship, and direct involvement in the work. They own the analytical strategy for the GTM function and are a credible, trusted partner to Sales, CS, and Marketing leadership.</p>
<h3 class="jobSectionHeader"><b>
What You'll Do:</b></h3>
<ul><li>Set the analytical strategy and roadmap for GTM, proactively identifying the highest-leverage opportunities before they are asked, across the full customer lifecycle from acquisition through expansion and retention.</li>
<li>Operate as a player coach, stay technical, get into the weeds on the hardest GTM problems, and model the analytical rigor and DS thinking you expect from the team.</li>
<li>Coach the team directly on the work itself: review analyses, push on methodology, challenge correlation versus causation, and raise the bar for statistical depth, EDA, and storytelling.</li>
<li>Own the measurement strategy for GTM, defining how we evaluate the true impact of marketing campaigns, sales motions, and CS interventions through rigorous causal methods, not just attribution heuristics.</li>
<li>Drive development and iteration of churn risk, health scoring, and expansion propensity models, ensuring they are statistically sound and actively used by CS and Sales to prioritize accounts.</li>
<li>Lead marketing attribution methodology, moving the team beyond last-touch toward multi-touch and incrementality-based approaches that give leadership an accurate picture of what is actually driving pipeline.</li>
<li>Partner with Revenue Operations and Finance on pipeline and revenue forecasting models that inform quota setting, capacity planning, and board-level reporting.</li>
<li>Partner with Sales, CS, and Marketing leadership as a strategic thought partner. Influence decisions on territory design, segmentation, campaign investment, and retention strategy before they are made.</li>
<li>Grow each person on the team intentionally, set clear development goals, give direct feedback often, and hold the bar high on both performance and growth.</li>
<li>Champion AI as a force multiplier. Build agents and skills that transition repetitive GTM data work into automated capabilities and free the team to focus on higher-leverage problems.</li>
</ul><h3 class="jobSectionHeader"><b>What You'll Bring:</b></h3>
<ul><li>7+ years of experience in data science or quantitative research, with at least 2 years managing a team of data scientists.</li>
<li>Strong hands-on technical skills: SQL, Python, and modern data warehouse environments. You can still write the code and review the work.</li>
<li>Demonstrated experience applying analytical methods to GTM problems: churn modeling, propensity scoring, attribution, forecasting, or similar.</li>
<li>Experience with causal inference methods (DiD, synthetic control, regression discontinuity, or similar) applied to real GTM or business problems.</li>
<li>Deep experience with experimental design, A/B testing, and rigorous measurement frameworks in a marketing or sales context.</li>
<li>Strong track record of influencing GTM strategy through data-driven recommendations at the leadership level.</li>
<li>Exceptional storytelling skills, able to translate complex methodology and findings into clear, compelling narratives for Sales, CS, and Marketing leaders.</li>
<li>Track record of developing data scientists and helping them grow from reactive analytics to proactive, strategic insight generation.</li>
</ul><h3 class="jobSectionHeader"><b>Bonus/Nice To Have:</b></h3>
<ul><li>Hands-on experience with churn risk modeling, health scoring, or customer lifetime value models in a B2B SaaS context.</li>
<li>Experience with marketing attribution beyond last-touch, media mix modeling, incrementality testing, or multi-touch attribution.</li>
<li>Familiarity with revenue forecasting and pipeline modeling in partnership with RevOps or Finance.</li>
<li>Background in SaaS, developer tools, or B2B product-led growth metrics.</li>
<li>Experience with CRM data (Salesforce or HubSpot) and marketing automation platforms as analytical data sources.</li>
<li>Hands-on experience with AI tools like Claude, Cursor, or similar LLM-powered assistants and a track record of helping a team adopt them.</li>
<li>Experience with probabilistic modeling or Bayesian approaches to forecasting and scoring.</li>
</ul><p></p><div>
<p>We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</p>
<p><b>
About CircleCI</b></p>
<p>
CircleCI is the world's largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster.</p><p><br>
Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold<br>
Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital.</p>
<p>
CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.</p></div></div>

Data Science Manager, GTM

Publicis Groupe Middle East

<div>
 <strong>
  Overview
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 </strong>
 <strong>
  Data, Reporting &amp; Infrastructure
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 </strong>
 <ul>
  <li>
   Own and maintain all data pipelines supporting paid media reporting and analytics, ensuring reliability, scalability, and accuracy.
  </li>
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   Manage and validate data integrations via APIs across media platforms, analytics tools, and visualization environments.
  </li>
  <li>
   Oversee dashboard development and maintenance, ensuring client-facing visualizations are fully accurate, up to date, and aligned with agreed KPIs.
  </li>
  <li>
   Act as the primary quality-control owner for all data outputs, proactively identifying and resolving discrepancies or errors.
  </li>
  <li>
   Work closely with activation and ad operations teams to ensure correct backend trafficking, tagging, and tracking implementation across all campaigns.
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  </li>
 </ul>
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  Planning &amp; Performance Reporting Management
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 </strong>
 <ul>
  <li>
   Own and manage the client&rsquo;s Annual Media Planning Document, which includes yearly KPIs which is monitored and reported monthly to the client.
  </li>
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   Ensure KPIs are consistently reflected across planning documents, dashboards, and performance reports.
  </li>
  <li>
   Maintain historical performance benchmarks and ensure year-on-year comparability.
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   <br/>
  </li>
 </ul>
 <strong>
  First-Party Data &amp; CDP Enablement
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 </strong>
 <ul>
  <li>
   Act as support for the client&rsquo;s Customer Data Platform (CDP), ensuring first-party data is effectively leveraged across paid media.
  </li>
  <li>
   Support the activation, measurement, and optimization of first-party and audience-based media strategies.
  </li>
  <li>
   Translate complex first-party data outputs into actionable insights for planners and client stakeholders.
  </li>
  <li>
   Ensure data governance, consistency, and best practices are upheld when using customer data in paid media environments.
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   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
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  <br/>
 </strong>
 <strong>
  Technical &amp; Product
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 </strong>
 <ul>
  <li>
   Strong, hands-on understanding of paid media platforms and ecosystems.
  </li>
  <li>
   Proven experience working with:
  </li>
  <ul>
   <li>
    APIs and data integrations
   </li>
   <li>
    Data pipelines
   </li>
   <li>
    Visualization tools and dashboards
   </li>
   <li>
    Trafficking, tagging, and tracking frameworks
   </li>
  </ul>
  <li>
   Advanced, professional-level Excel skills (complex formulas, pivots, data validation, large datasets).
   <br/>
  </li>
 </ul>
 <strong>
  Client &amp; Internal Collaboration
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  <br/>
 </strong>
 <ul>
  <li>
   Act as a trusted analytics partner to client stakeholders, confidently explaining data methodologies, KPIs, and performance trends.
  </li>
  <li>
   Collaborate closely with planning, activation, technology, and data teams to ensure seamless end-to-end delivery.
  </li>
  <li>
   Support senior leadership with analytical inputs for client presentations, reviews, and strategic discussions.
  </li>
  <li>
   Help establish and evolve analytics best practices within the planning team.
  </li>
  <li>
   Exceptional attention to detail with a track record of delivering accurate, error-free outputs.
  </li>
  <li>
   Strong communication skills, with the ability to translate data into clear insights for non-technical stakeholders and working collaborative within larger teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Innovative &amp; Analytical Mindset
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  <br/>
 </strong>
 <ul>
  <li>
   Highly detail-oriented and methodical
  </li>
  <li>
   Passionate about data and continuous improvement
  </li>
  <li>
   Proactive problem-solver with strong ownership mindset
  </li>
  <li>
   Comfortable working in fast-paced, deadline-driven environments
  </li>
  <li>
   Collaborative and client-focused
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  People &amp; Leadership
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  <br/>
 </strong>
 <ul>
  <li>
   Seeks others' feedback to develop self-awareness, strengths and address development area.
  </li>
  <li>
   Is able to proactively raise issues to improve effective team working and collaboration.
  </li>
  <li>
   Is able to communicate confidently in a clear, concise and articulate manner.
  </li>
  <li>
   Collaborates with stakeholders and embraces an inclusive based environment.
  </li>
  <li>
   Is able to make valuable contributions to discussions and brainstorming sessions, providing insight and point of view.
  </li>
  <li>
   Able to build relationships quickly with others and engages personally with peers and clients.
  </li>
  <li>
   Treats others with respect, listens to other perspectives, especially when they are different from own.
  </li>
  <li>
   Able to tackle problems in a timely manner and develop contingency plans that focus on problem resolution.
  </li>
  <li>
   Drives a culture of trust with Peers, clients and all other stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Self
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Is able to take ownership for actions and deals with consequences in a mature manner.
  </li>
  <li>
   Able to adjust performance based on experiences and feedback and showcases agility and flexibility.
  </li>
  <li>
   Displays openness to the ideas of others and leverages them when beneficial for the business.
  </li>
  <li>
   Showcases curiosity and open mindset towards new ways of doing things.
  </li>
  <li>
   Is able to set high impact objectives and goes above and beyond to exceed performance.
  </li>
  <li>
   Demonstrates the Growth Mindset and is able to take ownership of personal development and growth.
  </li>
  <li>
   Capable of constructively challenging the status-quo and takes risks to challenge internal and external perspectives.
  </li>
  <li>
   Approaches situations and individuals with honesty, integrity and humbleness.
  </li>
  <li>
   Displays resilience and maintains drives and a positive outlook when faced with challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in media analytics, marketing analytics, or performance measurement, ideally within a media agency or complex client environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 R-3862P-4387
</div>


Manager - Data Analyst

The Home Depot

<p>Position Purpose:<br/></p><p>Responsible for leading the structure and execution of analytical projects, providing thought leadership across their vertical, managing direct reports, and partnering with other Loyalty teams to deliver on key project milestones and outcomes. Acts as thought partner with all areas of the Company, including executive leadership, operations, merchandising, marketing and e-commerce.<br/></p><p>Key Responsibilities:<br/></p><p>10% Partner with the business to conceptualize business issues and translate into appropriate analytical approaches<br/>30% Analysis of large amounts of customer data to isolate key trends and business opportunities and develop actionable solutions and recommendations<br/>30% Development and delivery of effective presentations that summarize complex analyses and inform business decisions<br/>20% Coordination of the activities of internal and outsourced customer analytics resources<br/>10% Build trusted relationship with business partners<br/></p><p>Direct Manager/Direct Reports:<br/></p><p>Position reports to Sr Manager Loyalty Program Analytics<br/>This position has direct reports<br/></p><p>Travel Requirements:<br/></p><p>Typically requires overnight travel 5% to 20% of the time.<br/></p><p>Physical Requirements:<br/></p><p>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.<br/></p><p>Working Conditions:<br/></p><p>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/></p><p>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/></p><p>Masters degree or MBA<br/></p><p>Experience using statistics/analytics in a business or marketing setting<br/></p><p>Experience with writing database queries and working with enterprise database tools<br/></p><p>Familiarity with extremely large customer and transaction-level data set<br/></p><p>Prior experience with SQL, Python and Tableau<br/></p><p>Retail experience and/or interest<br/></p><p>Minimum Education:<br/></p><p>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.<br/></p><p>Minimum Years of Work Experience:<br/></p><p>4<br/></p><p>Competencies:<br/></p><p>History of outstanding performance in strategic thinking and analysis<br/>Experience managing all aspects of discrete projects/workstreams (relationship management, data collection, analysis, interpretation, document development, communication)<br/>Ability to develop frameworks and approaches to break complex business questions into addressable pieces<br/>Experience extracting data from and manipulating large data sets (using SAS, SQL, R, etc.)<br/>Familiarity with data mining statistical methods (Regression, factor analysis, clustering, etc.)<br/>Experience with creative data visualization techniques<br/>Experience developing executive-ready communication materials and presenting them to senior stakeholders<br/>Ability to work closely with peers and manager in flat team structure<br/>Demonstrated history of continuously learning new analytical techniques and approaches<br/>Ability to interpret and translate outputs from complex analyses into business language<br/></p>

Manager, Loyalty Program Analytics

<p>Position Purpose:<br/></p><p>A Logistics Sr. Analyst uses analytical methods and a variety of tools to understand, predict, improve and/or control Logistics operations and processes. Sr. Logistics Analysts are responsible for data management, analyzing performance, identifying problems, and developing recommendations that support Logistics management. Solves problems by considering courses of action within the framework of business goals and standards. Operates with minimal supervision and once given general assignments, prioritizes and executes tasks. Provides and communicates recommendations to upper management. Mentors and guides Logistics Analysts in daily work tasks. Must be a self starter, detail oriented, able to support and lead multiple projects, possess excellent communication skills, work well with a team, interact with multiple levels and functions with the Logistics organization, and able to manage vendor/business relationships. - Daily project activity coordination for multiple large scale initiatives such as Supply Chain Sync, Manual Floor Load, and Breakpack enhancement Implementation. - Developing and executing score carding for project and key organizational metrics to evaluate the performance to business case of those projects. - Performs forecasting, development and implementation of process improvement opportunities associated with assigned projects - Performs analysis in support of requested business and systemic enhancements which will result in cost savings to the company<br/></p><p>Key Responsibilities:<br/>25% Utilizes quantitative skills to create and analyze reports to support business execution. Supports the business through ad-hoc queries, and maintains reports from a variety of resources as specific to department or organizational needs<br/>25% Develops business tools and solutions based on knowledge, product or technology. Identifies Logistics process improvement opportunities through strategic thinking, critical thinking and analysis<br/>20% Provides recommendations to senior management. Mentors and guides Logistics Analysts<br/>20% Performs data management through data mining/data modeling/data analysis/cost/benefit analysis/process mapping/%/or problem analysis while executing day to day processes related to area of responsibility. Develops &amp; maintains cost estimates, forecasts, and cost models. Supports business through ad-hoc queries &amp; maintains reports<br/>10% Manages vendor/business partner relationships<br/></p><p>Direct Manager/Direct Reports:<br/>This position reports to Manager of Sr Manager<br/>This position has no Direct Reports<br/></p><p>Travel Requirements:<br/>Typically requires overnight travel less than 10% of the time.<br/></p><p>Physical Requirements:<br/>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.<br/></p><p>Working Conditions:<br/>Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.<br/></p><p>Minimum Qualifications:<br/>Must be eighteen years of age or older.<br/>Must be legally permitted to work in the United States.<br/></p><p>Preferred Qualifications:<br/>Industrial Engineering, Business Administration, Math or Finance Degree Master's Degree<br/>Experience with Six Sigma or other Process Improvement Methodology<br/>Proficient in: Microsoft Office Suite including Access, Excel, Powerpoint, Project, Word and Visio.<br/>Advanced Skills in: Mini-Tab, Access, SQL, Visual Basic Skills for Data Acquisition and Analysis, Visio-Process Mapping Skills<br/>Project Management Skills<br/>Finance/CBA/Capital Budget Experience<br/></p><p>Minimum Education:<br/>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.<br/></p><p>Preferred Education:<br/>No additional education<br/></p><p>Minimum Years of Work Experience:<br/>3<br/></p><p>Preferred Years of Work Experience:<br/>No additional years of experience<br/></p><p>Minimum Leadership Experience:<br/>None<br/></p><p>Preferred Leadership Experience:<br/>None<br/></p><p>Certifications:<br/>None<br/></p><p>Competencies:<br/>None<br/></p>

Sr. Logistics Analyst, Final Mile Sourcing

<div>
 <p>
  Job duties:
 </p>
 <p>
  1.According to the company's requirements, responsible for the development of Saudi Arabia and the surrounding market, the maintenance of target industry customers and related market activities;
 </p>
 <p>
  2.According to the company's marketing strategy, improve sales value, follow up and promote the large projects in the industry, to complete the sales task indicators assigned by the company;
 </p>
 <p>
  3.Develop maintain high quality customer resources, establish good long-term cooperative relationship, and do a good job of customer data statistical analysis; 4.Responsible for the sales data statistics and classification, analysis and forecast sales market. Grasp the market trends, to provide accurate and relevant information for decision-making, to explore and develop the sales market;
 </p>
 <p>
  5. Complete other work assigned by superiors.
 </p>
 <p>
  Job requirements:
 </p>
 <p>
  1. at least 3 years of ICT industry background, sales manager, key account representative, BD manager work experience, familiar with laws and regulations and multinational companies work requirements
 </p>
 <p>
  2. Bachelor degree or above with global recognition
 </p>
 <p>
  3. Familiar with the current situation and development trend of Saudi Arabia related industry
 </p>
 <p>
  4.Strong planning and writing skills, familiar with various sales channels and sales methods
 </p>
 <p>
  5. Sensitive business and market awareness, strong problem analysis and problem solving ability, excellent resource integration and business promotion ability
 </p>
 <p>
  6. optimistic personality, proactive, conscientious and meticulous, with good communication and cooperation skills
 </p>
</div>


Account Sales Manager

RATP Dev

<div><h2 class="jobSectionHeader"><b>Operations Data &amp; Investigation Supervisor</b></h2><div><ul><li><div>
Fixed-term contract</div></li><li><div>
Full-time</div></li><li><div>
At least 5 years of experience (Senior level)</div></li><li><div>
Bachelor degree</div></li><li><div>
Engineering/Maintenance Manager/Expert</div></li></ul></div></div>
<br><div><div><div><div><div><b>Operations Data &amp; Investigation Supervisor</b></div></div><p></p><div><h2 class="jobSectionHeader"><b>
Mission
</b></h2><div><p>JOB PURPOSE:</p><p>
The Operations Data &amp; Investigations Supervisor is responsible for overseeing daily data analytics activities to support operational efficiency and business decision-making. The role involves managing the development of data standards, deploying automation tools, supervising the construction and analysis of datasets, and ensuring data is clean, accurate, and actionable. This position plays a critical role in transforming raw data into strategic insights through statistical analysis, visualization, and cross-departmental collaboration to inform investigations and operational improvements.</p></div></div><div><h2 class="jobSectionHeader"><b>
Profile
</b></h2><p></p><div><p>RESPONSIBILITIES/DUTIES Data Analytics Oversight</p><ul><li>Supervise daily data analytics operations to ensure timely and accurate delivery of datasets that inform operational and business strategies.</li><li>Oversee the construction of data sets to support trend analysis, strategic insights, and informed decision-making across the organization.</li><li>Lead efforts to build processing capacity and develop team capabilities in statistical modeling, analytical methodologies, and data interpretation. Data Standards and Automation</li><li>Develop and implement data standards to ensure consistency, reliability, and integrity of data used in operational analysis.</li><li>Deploy and manage automation tools for efficient extraction, transformation, and loading (ETL) of data from various internal and external sources.</li></ul><p></p><p>
Data Preparation and Analysis</p><ul><li>Manage the data cleaning and preparation process, including filtering, managing missing data, and formatting datasets for accurate analysis.</li><li>Conduct data exploration and statistical analysis to uncover patterns, relationships, and emerging trends that support continuous improvement initiatives. Data Visualization and Reporting</li><li>Create visual representations of data insights through charts, graphs, and dashboards to enhance data comprehension and stakeholder engagement.</li><li>Prepare clear and concise reports and presentations that translate complex data findings into actionable recommendations for decision-makers. Cross-Functional Collaboration</li><li>Collaborate with various departments to understand their data needs, translate business requirements into analytical solutions, and support data-driven decision-making.</li><li>Act as a key liaison between operations, investigations, and business units to ensure data analytics efforts align with organizational objectives.</li></ul><p></p><p>
ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE QUALIFICATIONS:</p><ul><li>Bachelor&rsquo;s degree in Engineering, Computer Engineering, or a related field.</li><li>High proficiency in English (spoken and written) is required. KNOWLEDGE:</li><li>Solid foundation in statistics and data interpretation.</li><li>Proficient in tools such as Excel, SPSS, SAS, Power BI, Tableau, and SQL.</li><li>Skilled in data analysis languages (e.g., Python, R).</li><li>Familiar with data preparation techniques, including cleaning and handling missing values.</li><li>Understanding of basic machine learning concepts for predictive analysis.</li><li>Capable of developing dashboards and reports for business insights.</li><li>Experienced with database systems and data visualization best practices. EXPERIENCE:</li><li>3 to 5 years of relevant experience in data analytics, or operations analysis, preferably within a supervisory or coordination role.</li></ul><p></p><p>
DESIRED BEHAVIORS &amp; EXPERIENCES</p><ul><li>Analytical Mindset: Approaches problems with data-driven thinking, using evidence and analysis to guide decisions.</li><li>Attention to Detail: Ensures data accuracy, quality, and completeness in all stages of analysis and reporting.</li><li>Proactive Leadership: Anticipates challenges in data management and takes initiative to improve processes and tools.</li><li>Effective Communicator: Clearly conveys complex data insights through visualizations, reports, and presentations tailored to various stakeholders.</li><li>Collaborative Attitude: Works closely with different teams to understand their needs and provide actionable data support.</li><li>Adaptability: Responds flexibly to shifting priorities, data demands, and evolving business requirements.</li><li>Integrity and Confidentiality: Handles sensitive data with professionalism, ensuring ethical standards and data privacy are maintained.</li><li>Continuous Improvement: Seeks opportunities to enhance data analytics capabilities and adopt best practices in tools, methods, and technologies.</li></ul></div></div></div></div><p></p><div><div><div><h3 class="jobSectionHeader"><b><br>
Location</b></h3><p></p><div><div><div><b>
Location</b></div></div><div><b>
Address</b></div></div><p>
2 El Hegaz St, &Eacute;gypte</p></div></div></div></div><div></div>

Operations Data & Investigation Supervisor

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