data analytics specialist

Erie Insurance Group

<div><div><div><div><div>Division or Field Office: 
</div><div>Life Division</div> 
</div> 
<div><div>Department of Position:</div> <div>Life Data Department</div></div> 
<div>
<div>Work from:</div> 
<div></div>
</div> 
<div><div>Salary Range:</div>
<div>
$70,705.00 - $112,944.00 *

salary range is for this level and may vary based on actual level of role hired for
</div>
</div> 
</div></div><ul><li>This range represents a national range and the actual salary will depend on several factors including the scope and complexity of the role and the skills, education, training, credentials, location (State) based on ERIE's geographical differences, and experience of an applicant, as well as level of role for which the successful candidate is hired. Position may be eligible for an annual bonus payment.</li></ul> 


At Erie Insurance, you&rsquo;re not just part of a Fortune 500 company; you&rsquo;re also a valued member of a diverse and inclusive team that includes more than 6,000 employees and over 13,000 independent agencies. Our Employees work in the Home Office complex located in Erie, PA, and in our Field Offices that span 12 states and the District of Columbia. 
 
Benefits That Go Beyond The Basics

We strive to be Above all in Service&reg; to our customers&mdash;and to our employees. That&rsquo;s why Erie Insurance offers you an exceptional benefits package, including:
<ul>
<li>Premier health, prescription, dental, and vision benefits for you and your dependents. Coverage begins your first day of work.</li>
<li>Low contributions to medical and prescription premiums. We currently pay up to 97% of employees&rsquo; monthly premium costs.</li>
<li>Pension. We are one of only 13 Fortune 500 companies to offer a traditional pension plan. Full-time employees are vested after five years of service.</li>
<li>401(k) with up to 4% contribution match. The 401(k) is offered in addition to the pension.</li>
<li>Paid time off. Paid vacation, personal days, sick days, bereavement days and parental leave.</li>
<li>Career development. Including a tuition reimbursement program for higher education and industry designations.</li> 
</ul>
Additional benefits that include company-paid basic life insurance; short-and long-term disability insurance; orthodontic coverage for children and adults; adoption assistance; fertility and infertility coverage; well-being programs; paid volunteer hours for service to your community; and dollar-for-dollar matching of your charitable gifts each year.<div><div><div><h2 class="jobSectionHeader"> 
Position Summary</h2>
</div><div>
Assesses information needs, designs studies, manages projects, analyzes results and presents key findings in support of business leaders. Manages data and analytics projects of moderate complexity and impact to the business.</div></div><div><div><h2 class="jobSectionHeader">
Duties and Responsibilities</h2>
</div><div><ul><li>Models and develops data warehouse programs of moderate complexity ensuring business needs are met, including understanding ERIE's demographics and potential opportunities. Analyzes metrics and supports audit of source data.</li>
<li>Applies knowledge of programming languages and software tools to prepare ad hoc and re-occurring reports. Analyzes the financial implications of business decisions and identifies approaches to resolve business problems. Monitors and reports on progress and results as requested.</li>
<li>Supports the planning, development, modeling, implementation and reporting of all related data.</li>
<li>Works with leaders and subject matter experts to identify short- and long-term data and analytics goals related to business objectives. Measures the effectiveness of the data and analytics strategies in driving performance improvement.</li>
<li>Analyzes current landscape and trends to assist in planning. Recommends changes to business strategies and tactics as appropriate.</li>
<li>Partners with areas across the organization to define and implement research designs and quantitative techniques using high-level analytical tools. Serves as a liaison to internal and external suppliers of data and insights.</li>
<li>Creates files that include topics related to the industry, competitors, products, service innovations and trends. Works with specialists to develop, communicate and enforce standards for proper documentation and organization of electronic files, data and deliverables.</li>
<li>Trains less experienced specialists within the section.</li>
<li>Conducts special research studies as directed.</li></ul> 


The first two duties listed are the functions identified as essential to the job. Essential functions are those job duties that must be performed in order for the job to be accomplished. 

This position description in no way states or implies that these are the only duties to be performed by the incumbent. Employees are required to follow any other job-related instruction and to perform any other duties as requested by their supervisor, or as become evident.</div></div><div><div><h2 class="jobSectionHeader">
Capabilities</h2>
</div><ul><li>Values Diversity
</li><li>Nimble Learning
</li><li>Self-Development
</li><li>Collaborates
</li><li>Customer Focus
</li><li>Cultivates Innovation
</li><li>Information Management Skills
</li><li>Optimizes Work Processes (IC)
</li><li>Instills Trust
</li><li>Job-Specific Knowledge
</li><li>Ensures Accountability
</li><li>Decision Quality
</li></ul></div><div><div><h2 class="jobSectionHeader">Qualifications</h2>
</div><div>
Minimum Educational and Experience Requirements
<ul><li>Bachelor's degree with two years&rsquo; experience in research, analysis, strategic planning, financial analysis, information systems or related field; or</li>
<li>Associate degree and four years&rsquo; experience in research, analysis, strategic planning, financial analysis, information systems or related field; or</li>
<li>High school diploma or GED with six years&rsquo; experience in research, analysis, strategic planning, financial analysis, information systems or related field.</li></ul> 
 
Additional Experience
<ul><li>Insurance industry experience preferred.</li>
<li>An understanding of analysis and research required.</li>
<li>Experience with dataset, programming, querying and reporting design required. Advanced knowledge of SAS, SQL, SPSS, Python, R, or other related data analysis programs required.</li>
<li>Experience developing, maintaining, and monitoring enterprise data governance policies and standards preferred.</li>
<li>Knowledge of statistical and financial analysis and quantitative techniques preferred.</li>
<li>Project management experience preferred.</li>
<li>Proficiency with word processing, spreadsheet, database, presentation and flow-charting software required.</li>
<li>Proficiency with research-specific, statistical report writing software preferred.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Physical Requirements</h2>
</div><ul><li>Lifting/Moving 0-20 lbs; Occasional (&lt;20%)
</li><li>Lifting/Moving 20-50 lbs; Occasional (&lt;20%)
</li><li>Ability to move over 50 lbs using lifting aide equipment; Occasional (&lt;20%)
</li><li>Driving; Rarely
</li><li>Pushing/Pulling/moving objects, equipment with wheels; Occasional (&lt;20%)
</li><li>Manual Keying/Data Entry/inputting information/computer use; Often (20-50%)
</li><li>Climbing/accessing heights; Rarely</li></ul></div></div> 
 
Nearest Major Market: Erie</div>

Data & Analytics Specialist II

HRPSP - Your Strategic HR Partner

We&rsquo;re Hiring &ndash; Data Warehouse &amp; BI SpecialistLocation: IslamabadWork Type: HybridWe&rsquo;re looking for a skilled Data Warehouse &amp; BI Specialist with expertise in Airbyte, ClickHouse, Superset &amp; Power BI to design, manage, and optimize modern data solutions.Requirements:* Hands-on experience with Airbyte, ClickHouse, Superset &amp; Power BI* Strong SQL skills &amp; ETL/ELT knowledge* Experience in data modeling, dashboards &amp; performance tuning* Knowledge of governance, security &amp; access controls* Cloud (AWS/GCP/Azure) &amp; Python experience is a plusResponsibilities:* Manage data ingestion &amp; models (Airbyte, ClickHouse)* Build dashboards &amp; reports (Superset, Power BI)* Ensure data quality &amp; reliability* Collaborate with teams on analytics needsWhat We Offer:Competitive salary, growth opportunities &amp; a collaborative work cultureWork Location: In person

Data Warehouse & BI Specialist

We&rsquo;re Hiring &ndash; Data Warehouse &amp; BI SpecialistLocation: KarachiWork Type: HybridWe&rsquo;re looking for a skilled Data Warehouse &amp; BI Specialist with expertise in Airbyte, ClickHouse, Superset &amp; Power BI to design, manage, and optimize modern data solutions.Requirements:* Hands-on experience with Airbyte, ClickHouse, Superset &amp; Power BI* Strong SQL skills &amp; ETL/ELT knowledge* Experience in data modeling, dashboards &amp; performance tuning* Knowledge of governance, security &amp; access controls* Cloud (AWS/GCP/Azure) &amp; Python experience is a plusResponsibilities:* Manage data ingestion &amp; models (Airbyte, ClickHouse)* Build dashboards &amp; reports (Superset, Power BI)* Ensure data quality &amp; reliability* Collaborate with teams on analytics needsWhat We Offer:Competitive salary, growth opportunities &amp; a collaborative work cultureWork Location: In person

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Caterpillar uses analytics to identify and create opportunities for the workforce to deliver on our business priorities. Some typical opportunities include identifying markets and segments with key skills and talent to execute on businesses priorities, modeling scenarios and risks to our current and future talent, evaluate the effectiveness of operations and strategic initiatives, and recommend key areas to influence outcomes with data and insights. Our global team will provide analytical thought leadership for COEs, Segments, and Functional solutions and initiatives.
The principal responsibility of Workforce Insights Specialist is to provide a unique combination of statistical expertise, critical thinking, business acumen, inquisitiveness and creativity to deliver workforce solutions and insights across the enterprise. In addition, they will continue to elevate thinking amongst the analytics team, COPs, and all its partners to grow the analytical capabilities across all HR.
Some challenges of this role include working with Segments and COEs that may have conflicting priorities; shifting paradigms and thinking regarding data and analytics; balancing the need for precision vs minimally viable solutions; scaling the significant demand for data and analytics to focus on value added activities.
The Workforce Insights Specialist will elevate the rest of the team by establishing sound analytic approaches addressing business challenges across the enterprise. The role reports into a Global Analytics Lead that is responsible for helping build a data driven culture and create analytical solutions that improve decision making and reveal new opportunities. They must demonstrate good communication skills to explain conclusions to customers and leaders across all levels of the organization.
What You Will Do:
<ul><li>Possess knowledge of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to various situations.</li><li>
Oversee the acquisition and consumption of data from structured and unstructured sources, while ensuring quality and comprehensiveness of data for use in analyzing business activities, detecting patterns, and communicating trends.</li><li>
Demonstrate an ability to utilize various methods and techniques, including AI, to frame opportunities and conduct analyses that result in productive decisions.</li><li>
Develop predictive data models, quantitative analyses, and implement semantic data capabilities utilizing machine learning techniques.</li><li>
Lead data exploration and analytics projects and provide on-going coaching regarding visualizations, data mining, and analytic techniques.</li><li>
Demonstrate an ability to tell a story with data and create compelling ways to use data to drive actions.</li></ul>
What You Have:
<ul><li>Business Statistics: Knowledge of statistical methods, analytical techniques, and data interpretation practices used to identify business needs, uncover opportunities, detect trends, and support data-driven decision-making through analysis.</li><li>
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.</li><li>
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.</li><li>
Machine Learning &amp; Artificial Intelligence: Understanding of machine learning and artificial intelligence technologies and their application in data analysis; ability to use AI-driven approaches to interpret data, recognize patterns, and support evidence-based decision-making.</li><li>
Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.</li></ul>
Considerations For Top Candidates:<ul><li>
Bachelor&rsquo;s degree, preferably in statistics, economics, mathematics, or a similar field,</li><li>
Experience working with Snowflake and AWS highly preferred</li><li>
Knowledge of programming languages with R preferred followed by Python</li><li>
Experience working with BI tools such as Power BI and Tableau.</li><li>
Strong consultative skills, initiative, and the ability to communicate and tell compelling stories with data.</li><li>
Ability to utilize AI responsibly to streamline and enhance analytics approaches to solve workforce challenges.</li></ul>
Additional Info:<ul><li>
This position may require 10% travel.</li><li>
This position would ideally sit in Dallas, TX; with additional locations that include Nashville TN and Peoria IL</li><li>
This position requires in-office work schedule 5 days a week.</li></ul><ul><li>
Relocation assistance is offered for this position.</li><li>
Sponsorship will not be offered.</li></ul>
Summary Pay Range:
$97,530.00 - $158,480.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.<ul><li>
Medical, dental, and vision benefits*</li><li>
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*</li><li>
401(k) savings plans*</li><li>
Health Savings Account (HSA)*</li><li>
Flexible Spending Accounts (FSAs)*</li><li>
Health Lifestyle Programs*</li><li>
Employee Assistance Program*</li><li>
Voluntary Benefits and Employee Discounts*</li><li>
Career Development*</li><li>
Incentive bonus*</li><li>
Disability benefits</li><li>
Life Insurance</li><li>
Parental leave</li><li>
Adoption benefits</li><li>
Tuition Reimbursement</li></ul>
<ul><li>These benefits also apply to part-time employees</li></ul>
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
July 10, 2026 - July 19, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.</div>

Workforce Insights Specialist - Data Science

PayTech Group

<div>
 
 Job Title:
 
 Cards Analytics Specialist
 
 
 
 Term:
 
 12 months
 
 
 
 Location:
 
 Doha, Qatar
 
 
 
 Division:
 
 Cards &amp; Payments/ Retail Banking
 
 
 
 Reports to:
 
 Head of Cards Product/ Head of Cards Portfolio/ Head of Cards Analytics
 
 
 
 Relevant experience:
 
 
 
 7 years in cards analytics, portfolio analytics, or business intelligence within banking, payments, or financial services
 
 
 
 Mandatory requirements:
 
 
 
 <ul>
 <li>
 Proficiency in SQL and Excel
 </li>
 <li>
 Demonstrated experience in cards portfolio analytics (credit and/or debit) within banking or payments
 </li>
 <li>
 Experience with at least one data visualisation tool (Tableau, Power BI, or equivalent)
 </li>
 <li>
 Professional proficiency in English
 </li>
 <li>
 Immediately available or within 30- day notice
 
 
 
 </li>
 </ul>
 
 PURPOSE OF THE PROJECT
 
 
 
 The Cards Product and Portfolio teams require dedicated analytical capacity to strengthen data-driven decision-making across the card lifecycle; from acquisition and activation through spend growth, retention, and profitability. This role exists to embed a specialist analytics resource who will own the production and interpretation of portfolio performance reporting, diagnose emerging trends and risks, measure campaign effectiveness, and translate data into actionable recommendations for senior stakeholders. For the right candidate, this is an opportunity to directly influence a card portfolio's commercial trajectory working at the intersection of product strategy, marketing execution, and financial performance within a leading financial institution.
 
 
 Key Activities
 
 
 
 Core Responsibilities And Accountabilities
 
 
 
 <ul>
 <li>
 Portfolio performance reporting &amp; monitoring (:35%)-Build, maintain, and deliver recurring and ad-hoc performance dashboards covering acquisition, activation, spend, ENR (Earning Net Revenue), delinquency, attrition, and profitability metrics across the card portfolio.
 </li>
 <li>
 Portfolio diagnostics &amp; segmentation analysis (:25%)-Conduct deep-dive analyses on portfolio segments (by product, channel, customer cohort, vintage) to identify performance drivers, risks, and growth opportunities.
 </li>
 <li>
 Campaign measurement &amp; effectiveness analysis (:20%)-Design and execute pre/post campaign analytics including control-group methodology, ROI calculation, and response-rate analysis to measure and optimise marketing and engagement campaigns.
 </li>
 <li>
 Data-driven decision support (:15%)-Provide structured analytical support to Cards Product, Portfolio, Marketing, and Risk teams through insight packs, business cases, and scenario analyses that inform strategic and tactical decisions.
 </li>
 <li>
 Data quality &amp; automation (:5%)-Identify opportunities to improve data integrity, automate recurring reports, and enhance self-serve analytics capabilities for business users.
 </li>
 <li>
 Own and deliver the recurring cards portfolio performance reporting suite (daily/weekly/monthly), ensuring timely, accurate, and insight-rich output that enables the Cards leadership team to track KPIs against targets and take corrective action.
 </li>
 <li>
 Diagnose portfolio health by conducting segmentation, cohort, vintage, and trend analyses across the card lifecycle (acquisition activation usage retention attrition), identifying underperforming segments and recommending targeted interventions.
 </li>
 <li>
 Design and execute campaign measurement frameworks-including A/B testing structures, control groups, uplift calculations, and ROI analysis-to quantify the impact of card marketing campaigns and provide actionable post-campaign recommendations.
 </li>
 <li>
 Develop and maintain interactive dashboards and visualisations (Tableau / Power BI) that enable stakeholders to self-serve on key portfolio metrics, reducing ad-hoc request volume and improving decision speed.
 </li>
 <li>
 Translate analytical findings into clear, concise insight packs and presentations for senior management, ensuring recommendations are commercially grounded and linked to portfolio P&amp;L levers (interchange, fee income, cost of funds, provision rates).
 </li>
 <li>
 Collaborate cross-functionally with Product, Marketing, Risk, Operations, and Finance teams to ensure data consistency, align on KPI definitions, and embed analytics into business planning and campaign execution cycles.
 </li>
 <li>
 Continuously improve data extraction, transformation, and reporting processes-automating manual workflows and enhancing data quality controls to increase efficiency and reduce error rates.
 
 
 
 </li>
 </ul>
 
 KPIs (illustrative)
 
 
 
 <li>
 Reporting timeliness &amp; accuracy-% of scheduled reports delivered on time with &lt;2% error rate
 </li>
 <li>
 Dashboard adoption-% of stakeholders actively using self-serve dashboards (target: 70%+ monthly active users)
 </li>
 <li>
 Campaign ROI measurement coverage-% of card campaigns with completed pre/post analysis delivered within 10 business days of campaign close
 </li>
 <li>
 Insight-to-action conversion-Number of analytical recommendations adopted by Product/Marketing per quarter
 </li>
 <li>
 Ad-hoc request turnaround-Average time to deliver ad-hoc analytical requests (target: 3 business days)
 </li>
 <li>
 Automation rate-Number of manual reports converted to automated/self serve per quarter
 
 
 </li>
 
 Knowledge And Experience
 
 
 
 <ul>
 <li>
 7 years in a cards analytics, portfolio analytics, or business intelligence role within banking, payments, or fintech
 </li>
 <li>
 Exposure to retail banking, consumer lending, or credit risk analytics preferred
 </li>
 <li>
 Cards portfolio management concepts: acquisition funnels, activation rates, spend behaviour, ENR/balance build, attrition, delinquency, and profitability drivers
 </li>
 <li>
 Understanding of card P&amp;L structure (interchange income, fee income, cost of funds, scheme fees, provision/write-off)
 </li>
 <li>
 Campaign lifecycle analytics: targeting, segmentation, control-group design, uplift measurement, and ROI
 </li>
 <li>
 Familiarity with card scheme reporting ( performance dashboards and benchmarking tools) -preferred
 </li>
 <li>
 SQL -proficient in writing complex queries for large datasets (mandatory)
 </li>
 <li>
 Excel -advanced (pivot tables, VLOOKUP/INDEX-MATCH, data modelling, macros) (mandatory)
 </li>
 <li>
 Tableau and/or Power BI -dashboard design and interactive reporting (mandatory)
 </li>
 <li>
 Python or R -for statistical analysis, data manipulation, and automation preferred
 </li>
 <li>
 SAS -portfolio analytics and data extraction -preferred
 </li>
 <li>
 CRM and campaign management platforms (e.g., Salesforce Marketing Cloud, Adobe Campaign, SAS CI) - preferred
 </li>
 <li>
 Core banking / card management systems (CMS) exposure -preferred
 </li>
 <li>
 Google Data Analytics Professional Certificate or equivalent demonstrates structured analytical methodology
 </li>
 <li>
 Certified Analytics Professional (CAP)
 </li>
 <li>
 Mastercard Portfolio Management Certification
 </li>
 <li>
 Strong data storytelling and presentation skills -ability to translate complex data into clear, commercially relevant narratives for senior stakeholders
 </li>
 <li>
 Proactive problem-solving and intellectual curiosity
 </li>
 <li>
 Ability to manage multiple concurrent requests and prioritise effectively
 </li>
 <li>
 Collaborative mindset -comfortable working across Product, Marketing, Risk, and Finance teams
 </li>
 <li>
 Attention to detail with a commitment to data accuracy and qualit
 
 </li>
 </ul>
</div>

Cards Analytics Specialist

Reneco International Wildlife Consultants LTD

<div>
 
 RENECO's mission is to implement a global conservation strategy aiming to restore and preserve the Houbara bustard populations of North Africa (Chlamydotis undulata) and Asia (Chlamydotis macqueenii).
 
 
 
 
 
 To achieve these goals, RENECO has developed a multidisciplinary approach within different centers in Morocco, Central Asia, and the Arabian Peninsula by combining fundamental and applied research.
 
 
 
 
 
 To cope with the expansion of its activities and due to the development of new conservation projects, RENECO is opening new positions, giving a unique opportunity to be part of an ambitious conservation program.
 
 
 
 
 
 Reneco International Wildlife Consultants is seeking an
 
 AI &amp; Data Workflow Specialist
 
 to support the development and optimization of advanced data processing workflows across the organization.
 
 
 
 
 
 Working under the functional supervision of the Senior Database Manager, you will contribute to the integration of artificial intelligence, advanced analytics, and automation into our business processes. This role combines AI technologies, data science, workflow optimization, and user support to improve operational efficiency and enhance data-driven decision-making across conservation, ecology, veterinary, laboratory, and research activities.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyse existing business data workflows and integrate advanced AI and data processing solutions.
 </li>
 <li>
 Identify opportunities to optimize workflows by implementing cost-effective and innovative technologies.
 </li>
 <li>
 Monitor emerging AI technologies and recommend practical solutions aligned with business needs.
 </li>
 <li>
 Develop and maintain technical documentation, user guides, and activity reports.
 </li>
 <li>
 Deliver user training and provide ongoing support on AI tools, their capabilities, limitations, and business applications.
 </li>
 <li>
 Coordinate technical activities with external service providers and technology partners.
 </li>
 <li>
 Support the implementation of AI-driven solutions across multiple operational domains.
 </li>
 <li>
 Participate in international missions as required.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Master's degree (or equivalent) in Artificial Intelligence, Data Science, Computer Science, or a related field.
 </li>
 <li>
 Previous professional experience in AI, advanced data analysis, or a related technical role.
 </li>
 <li>
 Strong knowledge of AI technologies, including machine learning, automated recognition, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.
 </li>
 <li>
 Proficiency in Python and R for data processing, analytics, and AI development.
 </li>
 <li>
 Experience working with SQL Server and T-SQL.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to improve complex business processes.
 </li>
 <li>
 Interest in applying AI solutions to scientific and operational environments such as conservation, ecology, laboratory, and veterinary activities.
 </li>
 <li>
 Ability to work independently while collaborating effectively with multidisciplinary teams.
 </li>
 <li>
 Willingness to travel internationally when required.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with Business Intelligence platforms, preferably Tableau.
 </li>
 <li>
 Basic knowledge of system and network administration (Active Directory, IP, DNS).
 </li>
 <li>
 Familiarity with GIS software, particularly Esri ArcGIS Pro.
 </li>
 <li>
 Fluency in English is required.
 </li>
 <li>
 French, Arabic, Russian, Kazakh, or Uzbek language skills are considered an advantage.
 </li>
 </ul>
 
 
 
</div>

AI & Data Analysis Specialist

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: Data Governance &amp; Management Specialist</h1>
Job Title: Data Governance &amp; Management Specialist 
Experience: 6&ndash;12+ Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Data Governance &amp; Management Specialist with 6&ndash;12+ years of experience to establish, implement, and manage enterprise data governance frameworks. The ideal candidate will have strong expertise in data governance standards, data quality management, metadata management, master data management, data classification, and privacy practices. This role will support organizations in improving data trust, compliance, accessibility, and business value through effective governance strategies.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives.</li><li>
Establish data governance policies, standards, processes, and operating models.</li><li>
Define data ownership, stewardship models, and governance responsibilities across business and technology teams.</li><li>
Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data.</li><li>
Manage metadata, data cataloging, lineage, and business glossary initiatives.</li><li>
Support Master Data Management (MDM) strategies and implementation.</li><li>
Define and implement data classification and data privacy frameworks.</li><li>
Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance.</li><li>
Monitor governance KPIs, data quality metrics, and compliance requirements.</li><li>
Drive adoption of governance practices across enterprise data initiatives.</li><li>
Support regulatory compliance and data protection requirements.</li></ul><h2 class="jobSectionHeader">
Required Technical &amp; Functional Skills</h2><h3 class="jobSectionHeader">
Data Governance Frameworks</h3><ul><li>
Strong understanding of DAMA-DMBOK or NDMO frameworks and data governance principles.</li><li>
Experience designing and implementing enterprise data governance operating models.</li><li>
Knowledge of data stewardship, ownership, policies, standards, and governance processes.</li></ul><h3 class="jobSectionHeader">
Data Governance Platforms</h3><ul><li>
Hands-on experience with Collibra or Alation for:<ul><li>
Data catalog management</li><li>
Metadata management</li><li>
Business glossary creation</li><li>
Data lineage tracking</li><li>
Governance workflow management</li></ul></li></ul><h3 class="jobSectionHeader">
Data Quality Management</h3><ul><li>
Experience with Informatica Data Quality (DQ) or comparable data quality tools.</li><li>
Strong understanding of data profiling, validation rules, quality monitoring, and remediation processes.</li></ul><h3 class="jobSectionHeader">
Master Data Management</h3><ul><li>
Experience implementing Master Data Management (MDM) frameworks and processes.</li><li>
Understanding of master data domains, golden records, and data synchronization approaches.</li></ul><h3 class="jobSectionHeader">
Data Classification &amp; Privacy</h3><ul><li>
Experience with Data Classification and Data Privacy frameworks.</li><li>
Knowledge of sensitive data identification, protection controls, and compliance requirements.</li><li>
Understanding of privacy regulations and enterprise data protection practices.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field.</li><li>
6&ndash;12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management.</li><li>
Strong understanding of enterprise data architecture and governance practices.</li><li>
Excellent communication, stakeholder management, and collaboration skills.</li><li>
Experience working with cross-functional teams in enterprise environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting large-scale data transformation initiatives.</li><li>
Knowledge of cloud data platforms and modern data ecosystems.</li><li>
Familiarity with data security, risk management, and compliance frameworks.</li><li>
Experience establishing Data Governance Centers of Excellence (CoE).</li><li>
Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology &amp; Capability Stack</h2><ul><li>
Data Governance Frameworks: DAMA-DMBOK or NDMO</li><li>
Data Governance Platforms: Collibra or Alation</li><li>
Data Quality: Informatica Data Quality (DQ) and Data Profiling and Quality Monitoring</li><li>
Data Management: Master Data Management (MDM) and Metadata Management and Data Lineage</li><li>
Data Protection: Data Classification and Data Privacy and Compliance Management</li><li>
Governance Practices: Data Ownership and Data Stewardship and Governance Operating Models</li></ul>
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Data Governance & Management Specialist

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Data & Analytics Specialist II

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Data Warehouse & BI Specialist

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AI & Data Analysis Specialist

Data Governance & Management Specialist