senior data analyst

Nawy Real Estate

<div><p>Nawy Proptech is seeking a highly motivated and talented Senior Data Analyst to join our dynamic team. As a Data Analyst at Nawy, you will play a key role in leveraging data to drive strategic decisions and improve business performance. You will be responsible for analyzing, and interpreting different datasets to provide actionable insights that inform various departments across the organization. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and the ability to communicate complex findings in a clear and concise manner.</p><p></p><ul><li>
Collaborate with cross-functional teams to understand business requirements and address data-related challenges.</li><li>
Prioritize business requirements within and across projects based on business impact.</li><li>
Understand business needs to gather, analyze, interpret, and communicate data that informs stakeholders at all levels to make data-informed decisions.</li><li>
Reporting the results back to the relevant members of the business and presenting the story of the data in an easily accessible manner.</li><li>
Providing ad-hoc analysis as required to aid management making judgements.</li><li>
Develop and maintain dashboards, reports, and visualizations to track key performance metrics.</li><li>
Perform advanced data analysis to extract insights, identify trends, and provide actionable recommendations to support business objectives.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or other related technical field or equivalent work.</li><li>
Proven experience as a Data Analyst or similar role, 3+ years of experience in a similar position.</li><li>
Advanced SQL knowledge/experience - complex queries and query optimization.</li><li>
Experienced with data visualization tools such as: Tableau, Looker or PowerBI.</li><li>
Hands-on experience with programming languages.</li><li>
Strong understanding of statistical concepts.</li><li>
Familiarity with data warehouse development and data modeling.</li><li>
Highly detailed oriented, must display passion for analytics and data visualization.</li><li>
Data manipulation skills and experience in identifying numerical trends.</li><li>
Self driven, highly motivated, fast learner, ambitious and creative.</li></ul></div>

Senior Data Analyst

RENT RO

<p>Senior Data Analyst</p><p><b>Location:</b> SHARJAH, UAE<br/><b>Job Type:</b> Full-Time<br/><b>Industry:</b> Technology / Business Intelligence / Analytics</p><p>About the Role</p><p>We are looking for a highly analytical and experienced <b>Senior Data Analyst</b> to join our growing team in Dubai. In this role, you will transform complex data into actionable business insights, build interactive dashboards, automate reporting, and support strategic decision-making across the organization.</p><p>If you are passionate about data, enjoy solving business problems, and have strong experience with SQL, Power BI, and Python, we'd love to hear from you.</p><p>Key Responsibilities</p><ul><li>Analyze large datasets to identify trends, patterns, and business opportunities.</li><li>Design, develop, and maintain interactive dashboards using Power BI or Tableau.</li><li>Create automated reports and KPI dashboards for management.</li><li>Write optimized SQL queries to extract, transform, and analyze data.</li><li>Develop data models and ensure data accuracy and integrity.</li><li>Perform forecasting, trend analysis, and business performance reporting.</li><li>Work closely with Finance, Sales, Operations, HR, and Management teams to understand reporting requirements.</li><li>Present findings and recommendations to stakeholders in a clear and meaningful way.</li><li>Improve reporting processes through automation and best practices.</li><li>Support data governance and maintain high data quality standards.</li><li>Mentor junior analysts and contribute to the continuous improvement of the analytics function.</li></ul><p>RequirementsEducation</p><ul><li>Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Information Systems, Engineering, or a related field.</li></ul><p>Experience</p><ul><li>Minimum <b>5 - 10 years</b> of experience in Data Analytics, Business Intelligence, or a similar role.</li><li>Experience working with large datasets and enterprise reporting.</li><li>Strong understanding of business KPIs and performance metrics.</li></ul><p>Technical Skills</p><ul><li>Advanced SQL</li><li>Microsoft Power BI (required)</li><li>Python (Pandas, NumPy)</li><li>Advanced Microsoft Excel (Power Query, Pivot Tables)</li><li>Experience with SQL Server, MySQL, or PostgreSQL</li><li>ETL processes and data modeling</li><li>Knowledge of Tableau is an advantage</li></ul><p>Skills</p><ul><li>Strong analytical and problem-solving abilities</li><li>Excellent communication and presentation skills</li><li>Attention to detail and data accuracy</li><li>Ability to manage multiple projects and deadlines</li><li>Strong business acumen and stakeholder management</li></ul><p>Preferred Qualifications</p><ul><li>Microsoft Power BI Data Analyst Certification</li><li>Google Data Analytics Professional Certificate</li><li>Tableau Certification</li><li>Experience with Azure, AWS, or Google Cloud</li><li>Experience with ERP, CRM, or enterprise systems</li></ul><p>What We Offer</p><ul><li>Competitive salary based on experience</li><li>Career growth and learning opportunities</li><li>Professional and collaborative work environment</li><li>Exposure to enterprise-level analytics projects</li><li>Annual leave and company benefits as per UAE Labour Law</li></ul><p>Pay: AED8,000.00 - AED15,000.00 per month</p><p>Work Location: In person</p>

General Electric Credit Union

<div><p><b>Senior Data Analyst</b></p><p><b><br>
Primary Duties and Responsibilities:</b></p><p></p><div>
General Electric Credit Union is a not-for-profit, member-owned full service financial institution headquartered in Cincinnati with branches in Ohio and Kentucky. At GECU, we pride ourselves on maintaining quality service, being an employee-friendly workplace, and developing our team members while teaching you the skills to lead you to career advancement opportunities.</div><div></div><div><div><b>
</b></div><div><b>
Overview:</b></div><div><p>
The Senior Data Analyst is a key member of the Data Analytics Management team and works to bridge the gap between data and strategic business decision making. They will have significant technical experience with querying large sets of data, report writing, data governance, and dashboard production. They will be both a problem solver and an innovator, capable of navigating large sets of data and leveraging financial institution experience to create meaningful insights used in analyzing Credit Union performance. This position requires deep analysis skills as well as data modeling and report building ability.<br>
</p></div><div></div><br>
<div><b>Essential Responsibilities:</b></div><div><ul><li>
Partners with internal business units, acting as a consultant for business units by leveraging a variety of data resources to build dashboards, produce operational reporting, and perform in depth analysis to help partners better understand their unit&rsquo;s performance.</li><li>
Leads meetings with internal customers to understand data needs.</li><li>
Reconciles data models to financial records where applicable to verify completeness and accuracy.</li><li>
In partnership with Data Engineering teams, designs dashboards, queries, and data structures to provide a single source of truth for institutional data.</li><li>
Ensures reporting and insights are aligned with strategic goals and priorities, while maintaining neutrality in producing data for oversight.</li><li>
Works a Jira request queue for datasets or data models and responds in adherence with SLAs where applicable.</li><li>
Leads new projects with confidence and independence and communicates status updates regularly with stakeholders and senior management.</li><li>
Mentors and leads junior team members by being a subject matter expert with technical-side expertise (PowerBI, Excel, SQL).</li><li>
Directly supports senior management by sourcing and analyzing large sets of data to identify and advise on opportunities to optimize Credit Union financial performance.</li><li>
Analyzes internal and external data to identify trends, patterns, and insights that are used by Credit Union leaders to inform business decisions.</li><li>
Develops positive working relationships across the Credit Union by providing reliable, valuable insight and perspective through reporting and analysis, and uses those relationships to strengthen data utilization.</li><li>
Communicates findings, recommendations, and project updates to stakeholders and executives in a clear and understandable way.</li><li>
Identifies gaps in current performance reporting and/or analysis to contribute additional insights for decision makers.</li><li>
Prioritizes initiatives based on business needs and requirements.</li></ul><div><div><div><b>
Education and Experience:</b></div><div><ul><li>
Bachelor&rsquo;s degree in Business, Finance, Information Systems or similar is required.</li><li>
Financial Institution experience recommended.</li><li>
10+ years&rsquo; experience working with SQL and PowerBI required to navigate significant amounts of data required.</li><li>
Experience applying analytical methods to complex business problems, driving improved decision making and outcomes.</li><li>
Exposure to Snowflake, Jira, and Microsoft SQL Server Reporting Services required.</li><li>
Understanding of FASB/accounting a plus.</li></ul><div><b>
Knowledge, Skills, and Abilities:</b></div><ul><li>
Advanced Excel knowledge required.</li><li>
Comfortable navigating a variety of business systems as required to support all business units.</li><li>
Demonstrated knowledge of the financial industry and its products and services. Advanced critical thinking and problem solving skills.</li><li>
Ability to independently research complex problem areas, facilitate meetings and high level decision-making processes.</li><li>
Must be able to work independently and be a self-starter, comfortable initiating new processes and creating reporting from scratch.</li><li>
High degree of professionalism and communication skills to translate data observations to all levels of leadership including Executive and Board.</li><li>
Must understand and comply with all required federal and state regulations associated with this position.</li></ul><div><div><div><div><b>
At GECU, we want to support your wellbeing by offering a wide range of benefits:</b></div><div><ul><li>
Health, Dental and Vision insurance</li><li>
Life and Disability insurance options</li><li>
Paid Time Off starts accruing once hired and take your birthday off -paid</li><li>
401k Retirement plan with up to a 10% match of your base gross compensation</li><li>
Tuition reimbursement opportunities &amp; professional development
</li><li>Volunteer opportunities -and earn additional PTO hours!</li><li>
On-site clinics for Vaccines and Mammograms</li></ul></div></div><div></div><div><div><b><br>
And many more!</b></div></div><div></div><div><div><br>
Come join <b>GECU</b> as we are a curated culture of respect, understanding, and mutual recognition. We believe forming bonds and connecting with each other only stands to strengthen the service we provide to our members in our mission of improving the Quality of Financial lives!</div></div></div></div><div></div><div><i>
General Electric Credit Union is an Equal Opportunity Employer</i></div></div></div></div></div></div></div><p></p>

Tabby | تابي

<div>
 <p>
  <strong>
   Department:
  </strong>
  Collection
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Egypt
  <br/>
  <br/>
 </p>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Job Summary - We are looking for a Senior Data Analyst with exceptional analytical skills and a proven ability to work with large, complex datasets. The ideal candidate is a SQL superstar who can extract, transform, and analyze data efficiently, while also building reports and dashboards that guide critical business decisions. This role is perfect for someone who thrives in fast-paced environments, loves solving problems with data, and can translate insights into actionable recommendations.
 <br/>
 <br/>
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Data Analysis &amp; RCA
   </strong>
   : Perform deep analysis on business datasets to identify trends, patterns, and anomalies. Translate raw data into clear, actionable insights for stakeholders.
   <br/>
  </li>
 </ul>
 <ul>
  <li>
   <strong>
    SQL &amp; Data Extraction
   </strong>
   : Write highly optimized SQL queries for data extraction and manipulation. Ensure query performance is efficient even with large datasets. Act as the go-to expert in SQL best practices within the team.
   <br/>
  </li>
 </ul>
 <ul>
  <li>
   <strong>
    Reporting &amp; Visualization
   </strong>
   : Build and maintain automated dashboards and reports to track business KPIs. Use tools like Tableau, Power BI, or Looker for data visualization. Create ad-hoc reports to answer urgent business questions.
   <br/>
  </li>
 </ul>
 <ul>
  <li>
   <strong>
    Data Quality &amp; Management
   </strong>
   : Ensure accuracy, consistency, and reliability of data used for analysis. Collaborate with data engineering teams to maintain robust data pipelines. Proactively identify and resolve data quality issues.
   <br/>
  </li>
 </ul>
 <ul>
  <li>
   <strong>
    Stakeholder Communication
   </strong>
   : Present findings in a clear and concise manner to both technical and non-technical audiences. Support senior management with data-driven decision-making. Partner with business, operations, risk, finance, product teams to support problem solving and decision-making.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills, Knowledge &amp; Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or related discipline.
  </li>
  <li>
   Minimum 3&ndash;5 years of experience in data analytics in data analytics or business intelligence.
  </li>
  <li>
   Strong SQL skills for analysis and reporting.
  </li>
  <li>
   Hands-on experience with at least one visualization tool is a plus (Tableau, Power BI, Looker).
  </li>
  <li>
   Excellent problem-solving skills and a structured, analytical mindset.
  </li>
  <li>
   Experience in fintech, lending, collections, risk, or consumer finance is a plus.
   <br/>
  </li>
 </ul>
</div>


MMGY Global

<div><p>Data AnalyticsHybrid Remote, Overland Park, Kansas<br>
</p><p></p><div>
</div><div><h3 class="jobSectionHeader"><b>Description</b></h3>
<p></p><p><b>At MMGY Global</b>, we believe nothing shapes your view of the world like travel. So every day, we share our clients&rsquo; stories from a perspective that inspires people to see the world differently. Our personalized service and strategy connect media, consumers and influencers across the globe, taking people to new places and changing their views for the better. At MMGY, we inspire people to go places.</p><p><b>
We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office.</b></p><p>
As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY's Data Strategy team, reporting to the SVP of Data. This role is responsible for translating available data resources into actionable insights and strategic recommendations for internal teams and external clients, and for supporting MMGY Media via performance analytics for select clients. The ideal candidate operates with the autonomy, client presence, and strategic judgment &ndash; owning workstreams end to end and representing Data Strategy in client-facing setting.</p><p><b>
Duties &amp; Responsibilities</b></p><p>
Data Strategy &amp; Audience Intelligence</p><ul><li>
Collaborate with MMGY Account, Media, Social, Paid Search, Creative, and MarTech teams to understand available client data sources, tools, and partnerships with the goal of translating data into value for the MMGY media client base.</li><li>
Support and independently execute audience segmentation and modeling projects in partnership with Account Management and Integrated Planning leaders, including data analysis, insights creation, and client presentations.</li><li>
Execute strategies related to MMGY audience products, including TRiPs and Terminal (MMGY&rsquo;s audience modeling and persona creation process) audiences, from analysis through activation.</li><li>
Conduct Share of Wallet competitive analysis for MMGY media and data strategy clients, capturing client organizational goals, securing data to conduct analysis, and communicating results with go-forward strategy recommendations.</li><li>
Conduct seasonal market and audience analysis and deliver recommendations to the MMGY Media team in line with seasonal planning efforts.</li><li>
Support offline performance matchback reporting in partnership with consumer database providers.</li><li>
Partner with MMGY Travel Intelligence to refine Terminal, TRiPs, and other data strategy products, and research the latest technology and travel insight trends to maintain their USP and relevance.</li><li>
Be proactive in discovering new ways to highlight the value and communicate the specifics of MMGY Data Strategy products.</li><li>
Collaborate with MMGY&rsquo;s audience activation partners and sellers, driving revenue through MMGY audience usage within and outside the walls of MMGY media activation; track and report audience sale revenue in partnership with MMGY Finance team</li></ul><p>
Database Management and Data Collection</p><ul><li>
Analyze results, visualize performance, and identify trends that provide actionable insights based on available data, connecting media delivery data to client business outcomes.</li><li>
Operationalize existing data strategy processes via standardization and automation &mdash; building repeatable, scalable workflows (SQL, BigQuery, scripting) that reduce manual effort and improve turnaround.</li><li>
Create well-organized, client-ready analysis presentations that lead with insight and recommendation rather than data description.</li><li>
Leadership &amp; Collaboration</li><li>
Provide thought leadership in internal meetings, delivering specific, influential recommendations supported by data and analysis.</li><li>
Serve as a primary representative for Data Strategy in meetings, both internal and with clients, including onboarding, client visits, and key reporting periods for the assigned portfolio.</li><li>
Build relationships and trust with key client stakeholders, operating as a strategic partner rather than a report producer.</li><li>
Provide informal training, direction, and guidance to analysts across the broader analytics organization; contribute to best-practice documentation and knowledge sharing.</li><li>
Hold self accountable to all client and internal deadlines, proactively flagging risks and managing expectations with minimal oversight.</li></ul><p>
Required Skills and Experience</p><ul><li>
Bachelor's degree in marketing, business, or related technical field is required.</li><li>
5+ years of relevant professional experience in data analytics, audience modeling. performance tracking and analysis, and cross-channel program measurement, ideally within a media or marketing agency environment.</li><li>
Strong working knowledge of web analytics and ad serving tools (Google Analytics 4, Adobe Analytics, Google Campaign Manager 360).</li><li>
Strong working knowledge of SQL and cloud data warehouse environments (BigQuery preferred), with the ability to independently query, join, and QA large multi-platform datasets.</li><li>
Strong working knowledge and experience using data visualization software (Tableau, Power BI, Looker Studio) for client dashboard reporting, plus proficiency in Microsoft Excel.</li><li>
Demonstrated ability to own projects end to end: scoping, analysis, insight development, and client presentation.</li><li>
Attention to detail and the ability to work in a team and collaborate with and influence others, including senior internal stakeholders and clients.</li><li>
Proactive, self-motivated, deals well with ambiguity, strong time management, and excellent written and oral communication skills, including presentation delivery to client audiences.</li></ul><p>
Preferred Skills and Experience</p>
Experience with audience data, segmentation, and consumer databases (e.g., Epsilon, Experian, MRI-Simmons) and <ul><li>ing them to media planning and activation.</li><li>
Experience automating reporting and data workflows using scripting (Python, Google Apps Script) or workflow tools.</li><li>
Experience in travel, tourism, hospitality, or destination marketing, or a demonstrated interest in the category.</li><li>
Familiarity with media mix concepts, incrementality, and matchback measurement approaches.</li><li>
Experience mentoring or training junior analysts, even without formal management responsibility.</li><li>
Experience with campaign and website tagging and tracking systems (Google Tag Manager, Floodlight, tag auditing and troubleshooting).</li></ul><p>
MMGY Global provides a comprehensive PTO + benefits package that includes a hybrid telework policy. Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa. MMGY Global is an Equal Opportunity Employer.</p><p><b>
Who Are We?</b> We&rsquo;re a travel-obsessed collective of more than 600 people across the country and around the globe. And when we say we inspire people to go places, we mean ALL people. That&rsquo;s why we&rsquo;re focused on nurturing a workforce that is representative of the places we visit.</p></div></div><p></p>

L&T Technology Services

<div>
 <ul>
  <li>
   We are looking for the candidate who has good experience in
   <strong>
    Defense + Manufacturing + Engineering + Data
   </strong>
  </li>
  <li>
   Ability to build operational dashboards covering Order to Material to Plan, including monitoring of data flow, source systems, and data integrity, preferably using Power BI
  </li>
  <li>
   Good understanding of SAP, IoT, and other key data integration layers
  </li>
  <li>
   Minimum 12+ years of relevant experience
  </li>
  <li>
   Bachelor&rsquo;s degree in engineering or computer science.
  </li>
 </ul>
</div>


M&T Bank

<div><h2 class="jobSectionHeader"><b>OVERVIEW:</b></h2><p><b>
Senior Data Analyst on the Domain Analytics Team, part </b><b>of M&amp;T&rsquo;s Customer Insights</b><b> &amp; Analytics Organization.</b></p><p></p><p>
We provide analytical insights that empower Marketing and Digital Product organizations to drive business growth, strengthen customer relationships, and accelerate digital adoption.
</p><p></p><p><b>Our work spans:</b></p><ul><li><p>
Experimentation &amp; Measurement &ndash; Designing and analyzing tests to optimize customer acquisition for Retail and Business Banking segments.</p></li><li><p>
Cross-Channel Analytics &amp; Attribution &ndash; Understanding how customers interact across channels and identifying what drives engagement.</p></li><li><p>
Digital Journey Analytics &ndash; Uncovering insights from web and app behaviors to improve customer experiences.</p></li><li><p>
Digital Product Enablement &ndash; Partnering with product teams across the development lifecycle to support new feature launches with data and performance measurement.</p></li><li><p>
Data Products &amp; Ad-Hoc Analysis &ndash; Building dashboards and self-service tools, and delivering quick-turn insights to answer business questions.</p></li></ul><p></p><p><b>
LOCATION:
</b></p><p>This role follows a hybrid work model, requiring onsite presence four days per week at one of M&amp;T Bank&rsquo;s regional offices. Candidates must reside within a reasonable commuting distance to one of the following locations:</p><ul><li><p>
345 Main Street, Buffalo, NY</p></li><li><p>
115 Federal Street, Boston, MA</p></li><li><p>
1 Light Street, Baltimore, MD</p></li><li><p>
1350 I Street NW, Washington, DC</p></li><li><p>
1100 North Market Street, Wilmington, DE</p></li><li><p>
277 Park Avenue, New York, NY</p></li><li><p>
850 Main Street, Bridgeport, CT</p></li><li><p>
77 Pine Street, Burlington, VT</p></li></ul><p></p><p><b>
POSITION RESPONSIBILITIES:</b></p><ul><li><p>
Explore, mine, and profile data across multiple large complex datasets to gain and interpret insights for use in statistical and quantitative analytics.</p></li><li><p>
Collaborate with both technical and non‑technical stakeholders to translate business questions into analytical solutions.
</p></li><li><p>Support high‑quality analytics delivery by conducting data quality checks, collaborating on data model design, and applying best practices for code documentation and storage.</p></li><li><p>
Conduct complex data manipulation and analysis with common programming languages.
</p></li><li><p>Track and report performance of multiple campaigns. Identify deviations and explain variances. Consolidate findings for business consumption.</p></li><li><p>
Develop business intelligence solutions designed to meet business needs.</p></li><li><p>
Mentor junior team members and engage with peer teams.
</p></li><li><p>Understand and adhere to the Company&rsquo;s risk and regulatory standards, policies and controls in accordance with the Company&rsquo;s Risk Appetite. Identify risk-related issues needing escalation to management.</p></li><li><p>
Design, implement, maintain, and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues needing escalation to management.</p></li><li><p>
Promote an environment that supports belonging and reflects the M&amp;T Bank brand.</p></li><li><p>
Maintain M&amp;T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.</p></li></ul><p></p><p><b>
MANAGERIAL/SUPERVISORY</b><b> RESPONSIBILITY:</b></p><p>
No supervisory responsibility.</p><p></p><p><b>
MINIMUM QUALIFICATIONS REQUIRED:</b></p><p>
Bachelor&rsquo;s degree and a minimum of 5 years of related experience.</p><p>
Experience with data analysis and statistical tools</p><p>
Experience working in large databases</p><p>
Experience in SQL and familiarity with common program languages for data analysis (SAS, Python, R).</p><p>
Experience analyzing large data sets and explaining results of analysis through concise written and verbal communication.</p><p></p><p><b>
IDEAL QUALIFICATIONS PREFERRED:</b></p><p>
6 or more years related work experience in data analysis</p><p>
Expert skills in SQL and working with relational databases.</p><p>
Experience in programming languages such as SAS, Python, R.</p><p>
Experience with data visualization tool (PowerBI, Tableau)</p><p>
Experience with one or more cloud databases.</p><p>
Experience working within an agile environment.</p><p>
Experience analyzing web and digital product data, such as website traffic, user behavior, and events generated by web applications.
</p><p></p>M&amp;T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $113,300.00 - $188,800.00 Annual (USD). The successful candidate&rsquo;s particular combination of knowledge, skills, and experience will inform their specific compensation.<p></p><h1 class="jobSectionHeader"><b>
Location</b></h1>
Baltimore, Maryland, United States of America</div>

Senior Data Analyst - Digital (Customer Insights & Analytics)

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