data analytics lead

Proservartner

Role: Data Benchmarking &amp; Analytics LeadLocation: Dubai / Hybrid (with flexibility based on client requirements)Day Rate: USD 600&ndash;700Contract: Project-based, expected Nov/Dec startProservartner is a global consulting firm specialising in business transformation, shared services, outsourcing, and digital enablement. We partner with leading organisations to design and deliver practical, high-impact solutions across industries.Our approach is hands-on and collaborative: we combine strategic expertise with operational know-how to ensure clients see tangible results. With deep capability in finance, HR, supply chain, and customer experience transformation, we are trusted advisors to multinational firms across EMEA, Asia, and beyond.About the ProjectWe are supporting a major client engagement in Dubai, delivering a multi-country Compensation &amp; Rewards Benchmarking project across the media and investment sectors.The project covers:<ul><li>Market benchmarking and data analytics across GCC and global comparators</li><li>Compensation survey design, normalisation, and analysis</li><li>Sector-specific insights into reward structures and allowances</li><li>Change &amp; implementation support for new total rewards frameworks</li></ul>This is a high-profile engagement requiring experienced contractors to deliver alongside Proservartner&rsquo;s leadership team.Role Overview &ndash; Data Benchmarking &amp; Analytics LeadThe Data Benchmarking &amp; Analytics Lead will manage survey data, job architecture, and analytics across the multi-country compensation benchmarking project. You will ensure that data is normalized, insightful, and presented in a client-ready format.Key Responsibilities<ul><li>Manage compensation survey data collection, cleaning, and normalization</li><li>Develop job architecture frameworks and maintain accurate mapping</li><li>Build advanced Excel models, dashboards, and visualizations</li><li>Triangulate multiple data sources to generate actionable insights</li><li>Collaborate with SMEs and senior consultants to produce client-ready deliverables</li></ul>Candidate Requirements<ul><li>8&ndash;10 years&rsquo; experience in compensation analytics, benchmarking, or HR data analysis</li><li>Strong Excel modeling, data visualization, and survey analytics skills</li><li>Experience in job architecture and market survey analysis</li><li>Ability to interpret complex datasets and present insights clearly</li><li>Excellent stakeholder communication and reporting skills</li></ul>Job Type: Full-timePay: AED800.00 - AED1,000.00 per day

Data Benchmarking & Analytics Lead

ZIRLEN TECHNOLOGIES INCORPORATED

<div>Technical Business Analyst &ndash; SAP HRIS &amp; Data Analytics Lead, Public Health Systems Modernization 
Contract Position - Hybrid ,400 Otarre Parkway, Cayce, South Carolina 29033 
 
Required: 
<ul>
<li>Bachelor&rsquo;s or master&rsquo;s degree in a relevant field, or equivalent work experience</li>
<li>3+ years of experience with HRIS systems</li>
<li>5+ years of experience with state HR/payroll processes, data privacy standards (HIPAA, FLSA), and regulatory compliance frameworks</li>
<li>5+ years of experience in creating user guides, SOPs, process diagrams, and technical documentation</li>
<li>5+ years of experience in reporting, dashboard creation, and data visualization</li>
<li>Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Visio) and collaboration tools (SharePoint, Teams, OneDrive)</li>
</ul>Preferred Skills 
<ul>
<li>Experience with SAP SuccessFactors</li>
<li>Experience with industry-standard information security practices (PII, PHI)</li>
<li>Understanding of IT development and implementation projects</li>
<li>Strong written and verbal communication skills</li>
<li>Previous experience working with State or Federal Government</li>
</ul>Specific Skills: 
<ul>
<li>HRIS systems (SAP ECC, SuccessFactors)</li>
<li>HR/Payroll process analysis &amp; optimization</li>
<li>Business process documentation (SOPs, workflows)</li>
<li>Data privacy &amp; compliance (HIPAA, FLSA, NIST 800-53)</li>
<li>Reporting &amp; dashboards (Excel, Power BI)</li>
<li>System testing &amp; implementation (UAT, upgrades)</li>
<li>Project coordination &amp; stakeholder management</li>
<li>Collaboration tools (SharePoint, Teams, OneDrive)</li>
<li>MS Office (Word, Excel, PowerPoint, Visio)</li>
<li>Information security &amp; data integrity practices</li>
</ul>If you are interested, please share your updated resume with your contact number to sivarajan.s@zirlen.com, and also feel free to reach out at 972-433-6033 Ext. 1005. 
Flexible work from home options available.</div>

Business Analyst - SAP HRIS & Data Analytics Lead, Public Health

BIPB

<div>The Role: 
Keyrus is seeking a Senior Data Engineer &amp; Analytics Lead to join our Data Delivery team and drive the design, development, and optimisation of scalable cloud-based data solutions. This role goes beyond traditional data engineering &mdash; we are looking for someone who can own the end-to-end data lifecycle, from pipeline architecture to data validation, exploratory analysis, and insight presentation.
The ideal candidate combines strong data engineering capabilities with the ability to collate, analyse, and interpret data to generate meaningful business value. A foundational understanding of data science concepts is expected, even if not at a fully advanced modelling level.<ul>
<li>
Location: Hybrid &ndash; Pune, India (3 days onsite)</li>
<li>Target Start: October 2025</li>
<li>Compensation: &#8377;25,00,000 &ndash; &#8377;35,00,000 INR</li></ul> 
Responsibilities:<ul>
<li>
Architect, build, and optimise cloud-native data pipelines and big data ecosystems using Azure and Snowflake.</li>
<li>Perform data ingestion, transformation, and enrichment, ensuring high data quality and reliability across downstream use cases.</li>
<li>Conduct basic exploratory data analysis (EDA) and generate insight-ready datasets to support business stakeholders and analytics teams.</li>
<li>Present data findings and performance insights clearly to both technical and non-technical stakeholders.</li>
<li>Ensure all Non-Functional Requirements (security, performance, scalability, DR, compliance) are embedded in design and implementation.</li>
<li>Evaluate and prototype modern data technologies, leading POCs to drive innovation and continuous improvement.</li>
<li>Collaborate with Data Governance teams to ensure accurate metadata and lineage tracking (e.g., via Collibra or similar tools).</li>
<li>Advocate for data mesh principles, reusable data products, and best practices across engineering and business teams.</li>
<li>Leverage DevSecOps and automation tools (Terraform, GitHub, CI/CD) to streamline deployment and operational excellence.</li></ul> 
What we're looking for in our applicants:<ul>
<li>
10+ years of hands-on experience in data engineering in enterprise/cloud environments.</li>
<li>Proven experience building data pipelines on Azure (Azure Data Factory, Databricks, Synapse, or equivalent). 
</li>
<li>Demonstrated ability in Snowflake development, including SQL performance optimisation. 
</li>
<li>Practical exposure to Python for data workflows and basic analytical scripting (pandas, data inspection, validation scripts). 
</li>
<li>Experience performing data joins, validation, quality checks, and exploratory insights aggregation. 
</li>
<li>Strong understanding of data lake/data warehouse architectures and modern data platform patterns. 
</li>
<li>Skilled in DevOps/Infra-as-Code tooling (Terraform, GitHub, CI/CD pipelines) and automated deployment strategies. 
</li>
<li>Ability to translate complex technical concepts into clear business-relevant insights. 
</li>
<li>Experience collaborating with multidisciplinary teams ,including Data Scientists, Analysts, Governance, and Product stakeholders.</li></ul> 
Why Keyrus?
Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.
You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.
Keyrus gives you the opportunity to showcase your talents and potential, to build up experience through working with our clients, with the opportunity to grow depending on your capabilities and affinities, in a great working and dynamic atmosphere. 
Keyrus UK Benefits:<ul>
<li>
Competitive holiday allowance</li>
<li>Very comprehensive Private Medical Plan</li>
<li>Flexible working patterns</li>
<li>Workplace Pension Scheme</li>
<li>Sodexo Lifestyle Benefits</li>
<li>Discretionary Bonus Scheme</li>
<li>Referral Bonus Scheme</li>
<li>Training &amp; Development via KLX (Keyrus Learning Experience)</li></ul></div>

Senior Data Engineer & Analytics Lead

Locuz Enterprise Solutions

<div><div><div>Experience: 10+ years 
Location: Hyderabad</div><div> 
At the forefront of data-driven innovation, our team empowers organizations to unlock strategic value through advanced analytics, AI/ML, and next-gen GenAI solutions built on cloud-native platforms and optionally deploying AI/ML in data centers. As a technology Lead he/she will work with enterprises, startup founders, and government agencies to build robust data capabilities across Data Engineering, Analytics, Machine Learning, Generative AI, and emerging agentic architectures. Primary responsibility will be to craft future-ready, fail-proof strategies for clients by leading presales and post-sales efforts, while actively shaping solution architecture and guiding delivery teams to execute with excellence and on time!</div><div></div><div> 
We are seeking an experienced and visionary Data, AI/ML &amp; Gen AI Leader to establish and scale our AI practice. The ideal candidate will bring deep expertise in machine learning, LLMs, data science, and GenAI platforms, and will be responsible for defining the technical roadmap, driving innovation, mentoring teams, and delivering impactful Data and AI solutions across industries.</div><div> 
He/She will collaborate with C-suite leaders and technical stakeholders from ideation to execution. As a thought leader, he/she is expected to bring best practices from both presales and delivery, bridge the gap between business needs and technical complexity, and stay ahead of rapid shifts in data, AI, GenAI, and agentic technologies.</div><div></div><div> 
This role requires a blend of strategic thinking, hands-on technical capability, and leadership acumen to shape and grow the organization&rsquo;s Data, AI, and GenAI capabilities. We expect hands-on expertise in cloud platforms (with AWS as primary), Good Snowflake knowledge, Azure awareness, a good understanding of enterprise platforms (SAP, Salesforce, ServiceNow, Dynamics), and experience with leading databases (Oracle, MySQL) and ETL tools (like Glue, Fivetran, EMR).</div><div> 
Work to be done 
<ul><li>Build, mentor, and lead a cross-functional AI team including data scientists, ML engineers, data engineers, and solution architects.</li><li>Lead the design, development, and deployment of cloud-native data, AI/ML, and GenAI platforms leveraging AWS (SageMaker, Bedrock, Lambda, Glue, EMR, Kinesis, Redshift, Athena, AppFlow, Step Functions, Rekognition, Textract, Comprehend).</li><li>Architect and oversee the design and deployment of end-to-end AI/ML pipelines, including data ingestion, model training, evaluation, and deployment. Optimize ETL pipelines, lakehouses, and advanced analytics solutions on AWS and Snowflake.</li><li>Lead Generative AI initiatives such as intelligent chatbots, document summarization, knowledge assistants, and code-generation solutions.</li><li>Translate complex client problems into actionable data and AI strategies through POCs, MVPs and production-grade deployment leveraging open-source and enterprise AI stacks, including agentic AI frameworks, RAG workflows, and enterprise MLOps/DataOps best practices.</li><li>Define, implement, and enforce data governance, master data management (MDM), cataloging, and lineage frameworks for accuracy, integrity, and compliance - working across Oracle, MySQL, and other enterprise data sources.</li><li>Conduct platform health reviews: data/AI quality assessments, root cause analyses, and continuous improvement for reliability and performance.</li><li>Partner with business, sales, and product teams to shape tailored proposals, SoW, pricing, and effort estimation for large-scale enterprise data, AI, and GenAI projects.</li><li>Mentor and lead delivery teams - ensuring best practices across presales, solution architecture, and project execution, with exposure to ETL tools like Fivetran, EMR, Glue, and scalable database management.</li><li>Engage with partners (AWS, Microsoft, NVIDIA, etc.) for joint solution development.</li></ul>
Required Skills &amp; Experience 
<ul><li>8 -10 years of experience in data analytics and AI/ML with deep cloud expertise (AWS mandatory, Snowflake desired, Azure /GCP and ETL tools like Fivetran good to have).</li><li>Demonstrated leadership in presales architecting, solution workshops, client engagement, and enterprise data &amp; AI delivery across platforms such as SAP, Salesforce, ServiceNow, and Dynamics.</li><li>Proficiency with cloud-based AI services (Amazon SageMaker, Vertex AI, Bedrock, OpenAI APIs), Cloud-based data and ETL services like Glue, EMR, Kinesis, Redshift; Visualization tools like Quicksight, Grafana.</li><li>Deep understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch, Hugging Face), LLM fine-tuning techniques, and programming stack like Python, Spark, Scala.</li><li>Strong understanding of vector databases, RAG (Retrieval Augmented Generation), and prompt optimization techniques.</li><li>Experience building or deploying GenAI, Agentic AI (including RAG models), data agents, and leveraging the latest in cognitive/enterprise AI trends; good understanding of Azure and hybrid/multi-cloud strategies, including integration with SAP, Salesforce, ServiceNow, and Dynamics.</li><li>Proven advocacy and implementation of DataOps, MLOps, data governance, and metadata management at scale, utilizing a mix of modern enterprise tools and native cloud services.</li><li>Exceptional analytical, solution design, and communication skills; adept at leading technical and business discussions and mentoring/leading diverse teams.</li></ul></div><div></div><div> 
Preferred Qualifications 
<ul><li>AWS Certified Machine Learning &ndash; Specialty, AWS Data Analytics Professional, or SnowPro Certification.</li><li>Certification or specialization in Generative AI, NLP, or Deep Learning from reputed platforms (e.g., Coursera, Stanford, NVIDIA DLI).</li><li>Experience leading global or US-based client engagements and shaping enterprise data/AI strategies from presales to delivery.</li><li>Exposure to Azure AI/Data services, enterprise platform integrations (SAP, Salesforce, ServiceNow, Dynamics), metadata/catalog tools, and designing modern data operating models.</li><li>Experience with large-scale proposals, SoW creation, and bringing best-in-class presales and delivery practices.</li></ul></div><div></div><div> 
Our Culture and Purpose 
We believe diverse perspectives drive innovation. Our inclusive culture empowers you to be authentic, nurtures curiosity, and prioritizes continuous learning. We provide an environment where the person can truly grow as a leader, master the latest in data and GenAI, and deliver measurable impact for clients and communities. This is where passion for architecting data and AI solutions meets meaningful business influence.</div><div></div><div> 
If one thrives on leading teams, mentoring talent, exploring RAG models, building agentic AI, and consistently delivering business impact, it will be the next big move.</div></div></div><div></div>

Data Analytics Tech Lead

Rebert Technologies Pvt.Ltd

Position: Data Lead EdTech Department Rebert Technologies Pvt. Ltd.Location: Part Time (Pune preferred)Type: Part -Time | Role: Founding TeamAbout Rebert TechnologiesRebert Technologies is a software solutions company driven by innovation and technology. We specialize in developing intelligent digital solutions that simplify business operations and enhance performance.We are now launching our EdTech division, focused on building a data-driven education ecosystem that bridges the gap between learning and employability. Our goal is to empower students and institutions through technology, analytics, and measurable outcomes.About the RoleWe are looking for a Data Lead to spearhead our analytics and data systems within the EdTech division. You will be responsible for building data pipelines, creating dashboards, analyzing trends, and turning numbers into actionable insights. This role involves close collaboration with our product, marketing, and academic teams to make data-driven decisions that directly influence student outcomes and company growth.As one of the early team members, you will play a key role in shaping the foundation of our data culture and have the opportunity to lead a team as we scale.Key Responsibilities<ul><li>Design and manage end-to-end data pipelines, dashboards, and reports.</li><li>Analyze learner, marketing, and performance data to extract key insights.</li><li>Support product and business teams with data-backed recommendations.</li><li>Maintain data accuracy, integrity, and accessibility across systems.</li><li>Develop scalable analytics systems and mentor future data team members.</li></ul>Required Skills<ul><li>Strong in Excel / Google Sheets, SQL, and Power BI / Tableau / Google Data Studio.</li><li>Knowledge of data visualization, automation, and analytics.</li><li>Familiarity with Python / R is a plus.</li><li>Excellent analytical, communication, and problem-solving skills.</li><li>Prior exposure to EdTech or analytics in the education sector preferred.</li></ul>Expectations:<ul><li>Self-motivated, analytical, and outcome-oriented.</li><li>Thrive in a startup environment with ownership and autonomy.</li><li>Passionate about data, learning, and innovation.</li></ul>Compensation<ul><li>&#8377;10,000 per month (based on experience &amp; performance).</li></ul>Job Type: Part-timePay: &#8377;8,000.00 - &#8377;10,000.00 per monthExpected hours: 16 per weekBenefits:<ul><li>Flexible schedule</li><li>Work from home</li></ul>Education:<ul><li>Master's (Preferred)</li></ul>Work Location: Remote

Data Lead

DigiTalent Solutions

Location: Pakistan (Remote)Experience: 5+ YearsJob Timings: 8:00 pm - 5:00 am (Night Shift)Job Nature: RemoteJob Summary:We are seeking an experienced and visionary Business Intelligence Lead to drive data-driven decision-making across financial, operational, and strategic functions. The ideal candidate will have a proven track record of leading BI teams, building and optimizing dashboards, automating reporting systems, and consulting global clients across diverse industries. The role demands a hands-on leader with strong Power BI expertise, data modeling, and analytical skills who can translate raw data into actionable insights that improve business performance and profitability.Key Responsibilities:<ul><li>Lead the end-to-end design, development, and deployment of financial, operational, and strategic dashboards that support executive decision-making.</li><li>Manage and mentor a BI team, overseeing report creation, data governance, and performance optimization across multiple business units.</li><li>Develop and automate PNL, revenue forecasting, and performance tracking reports to enhance financial planning accuracy and visibility.</li><li>Integrate business applications (e.g., ClickUp, ERP, CRM) with Power BI using APIs to achieve seamless and automated reporting.</li><li>Conduct advanced data modeling, ETL development, and KPI analysis to support long-term strategic planning.</li><li>Lead and execute migration projects from SSRS to Power BI, improving performance and user experience.</li><li>Deliver impactful insights through data storytelling and visualization best practices, ensuring data is actionable and understandable for stakeholders.</li><li>Collaborate with senior leadership to define and track metrics for ROI, operational efficiency, and business performance improvement.</li><li>Conduct data literacy and BI training sessions to empower business users with self-service analytics capabilities.</li><li>Ensure data accuracy, consistency, and availability across platforms while maintaining security and compliance standards.</li></ul>Qualifications:<ul><li>Master&rsquo;s degree in Data Science, Computer Science, or related field.</li><li>5+ years of progressive experience in data analytics, business intelligence, and performance reporting.</li><li>Proven experience leading BI initiatives across financial, operational, and strategic domains.</li><li>Strong command of Power BI, including Power Query, DAX, Data Modeling, Visualization, and Report Optimization.</li><li>Hands-on experience with SQL Server, MySQL, Oracle, Python, and Microsoft Azure / Fabric environments.</li><li>Proficiency in data analysis techniques &mdash; A/B testing, sales &amp; stock analysis, root-cause analysis, payroll and SCM analysis.</li><li>Excellent communication and leadership skills with experience training and mentoring data teams.</li><li>Demonstrated success in working with international clients across healthcare, retail, and services industries.</li></ul>Preferred Skills:<ul><li>Experience with financial dashboards, operational analytics, and enterprise data platforms.</li><li>Knowledge of Power Platform (Power Apps, Automate, Pages, SharePoint).</li><li>Proven ability to lead data-driven initiatives that directly impact revenue and efficiency.</li></ul>Why Join Us:<ul><li>Work on international projects with measurable business impact.</li><li>Lead a data-driven transformation journey across departments.</li><li>Collaborate with global clients and industry experts in BI and analytics.</li><li>Continuous learning and certification opportunities in modern BI tools and cloud technologies.</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs800,000.00 per monthWork Location: In person

Business Intelligence Lead

Zain Bahrain

<div>
 
 About The Role
 
 
 
 The Digital Analytics Lead is responsible for driving the organization's data-driven decision-making by managing digital analytics tools, generating actionable insights, and optimizing digital channel performance. This role requires a strong analytical mindset, proficiency in data tools and technologies, and the ability to collaborate with cross-functional teams to enhance business outcomes through precise measurement, reporting, and strategy development.
 
 
 Main Responsibilities &amp; Duties
 
 
 <ul>
 <li>
 Data Management &amp; Integration:
 </li>
 <ul>
 <li>
 Oversee the setup, configuration, and maintenance of digital analytics platforms.
 </li>
 <li>
 Manage data collection processes, ensuring accuracy, consistency, and compliance with data governance standards.
 </li>
 <li>
 Integrate analytics tools and data sources to create a comprehensive digital performance measurement framework.
 </li>
 </ul>
 <li>
 Performance Analysis &amp; Insights:
 </li>
 <ul>
 <li>
 Monitor key performance indicators (KPIs) and digital metrics across platforms to assess campaign effectiveness and user behavior.
 </li>
 <li>
 Analyze data trends to uncover insights and opportunities for optimization.
 </li>
 <li>
 Provide recommendations to improve digital experiences and drive conversions.
 </li>
 </ul>
 <li>
 Collaboration &amp; Strategy Development:
 </li>
 <ul>
 <li>
 Partner with marketing, product, and BI teams to align analytics strategies with business goals.
 </li>
 <li>
 Develop and present dashboards, visualizations, and performance reports for stakeholders.
 </li>
 <li>
 Contribute to the creation of data-driven strategies for customer engagement and retention.
 </li>
 </ul>
 <li>
 Tool Utilization &amp; Automation:
 </li>
 <ul>
 <li>
 Implement and optimize tools for customer engagement, mobile performance measurement, and workflow automation.
 </li>
 <li>
 Leverage emerging technologies to enhance data connectivity and reporting efficiency.
 </li>
 </ul>
 <li>
 Stay Current with Industry Trends:
 </li>
 <ul>
 <li>
 Keep up-to-date with advancements in digital analytics, tools, and methodologies.
 </li>
 <li>
 Recommend and implement innovative approaches to improve analytics capabilities.
 
 </li>
 </ul>
 </ul>
 Skill and Knowledge
 
 
 <ul>
 <li>
 Experience with customer engagement platforms and mobile measurement tools.
 </li>
 <li>
 Familiarity with workflow automation and application performance monitoring tools.
 </li>
 <li>
 Knowledge of data governance and compliance best practices.
 </li>
 <li>
 Proficiency in analytics platforms and data visualization tools.
 </li>
 <li>
 Strong understanding of digital marketing channels and performance optimization.
 </li>
 <li>
 Excellent problem-solving skills with the ability to translate data into actionable insights.
 </li>
 <li>
 Effective communication and collaboration skills to work with cross-functional teams.
 
 
 </li>
 </ul>
 Education and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Marketing, Business, Data Science, or a related field; advanced degree preferred.
 </li>
 <li>
 7+ years of experience in digital analytics, data management, or a similar role.
 
 
 </li>
 </ul>
 
 About Application Process
 
 
 
 If you meet the criteria and you are enthusiastic about the role, we would welcome your application. To complete the application you would need the following document(s):
 
 
 <ul>
 <li>
 Resume/CV
 </li>
 <li>
 Passport-size photograph
 </li>
 <li>
 Highest Education Qualification
 </li>
 </ul>
</div>

ZAIN1476 - Digital Performance Lead

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