analytics engineer

Minute Media

<div>Minute Media is a global technology and content company built for the future of sports consumption. Minute Media's proprietary technology platform enables the creation, distribution and monetization of digital content experiences, which powers Minute Media's portfolio of trusted content brands, including Sports Illustrated, The Players' Tribune, and FanSided as well as hundreds of sports leagues, teams, broadcasters, third-party publishers and advertisers. The technology platform includes, (i) STN Video, an online video platform (OVP), which provides access to a robust sports highlights rights portfolio, and (ii) Magnifi, an AI-driven SaaS platform, that enables rights holders to detect key moments and create highlights in real time. Minute Media is building the future of how the world connects with sport, powered by innovation, shared globally, and trusted by millions of fans and the partners we serve. Minute Media has offices in the US, UK, Israel, Brazil, Asia and India. For more information, visit www.minutemedia.com. 
We are seeking an analytical and tech-savvy Analytics Engineer/ BI Developer to join our team, focusing on our B2B products and content cost analytics. You will bridge the gap between data and business for our publisher-facing solutions. In this role, you&rsquo;ll develop Business Intelligence solutions and insights that drive informed decisions for both Minute Media and our content partners. This includes building dashboards to track B2B product performance and analyzing content costs to help optimize our partnerships. If you enjoy turning data into actionable business intelligence and thrive in a fast-paced media environment, we&rsquo;d love to meet you. 
What You'll Do
﻿
Content Cost Analytics &amp; Reporting<ul><li>
Analyze and report on content costs (licensing, contributors) to assess impact on revenue, margins, and content ROI, and integrate these metrics into centralized data models and the Single Source of Truth in partnership with Data Engineering.</li><li>
Automate monthly and quarterly content cost reporting by replacing manual spreadsheets with dynamic Looker dashboards, providing Finance and Partnerships teams with real-time visibility into spend vs. returns.</li></ul>
BI Development for Partner Solutions<ul><li>
Design and build scalable data sources, models, and feeds to support B2B analytics, including partner-facing reporting in Voltax for content performance and earnings.</li><li>
Develop and maintain intuitive Looker dashboards tracking key B2B KPIs (e.g., video usage, syndication metrics, revenue share), ensuring data accuracy, consistency, and stakeholder trust.</li></ul>
Insights &amp; Collaboration<ul><li>
Collaborate cross-functionally with Product, Finance, and Partnerships to translate business questions into data analysis and actionable insights.</li><li>
Identify trends and optimization opportunities in partner usage and content costs, clearly communicating findings internally and occasionally supporting external partner reporting, enablement, and training.</li><li>
Proactively improve analytics offerings by staying current on BI and digital media trends and recommending new metrics or visualizations.</li></ul> 
Requirements: 
 
What You Have<ul><li>
3+ years of experience in data analytics, business intelligence, or a related role, ideally in tech, media, or digital content environments.</li><li>
Strong SQL skills with experience writing complex queries and transforming data in cloud data warehouses (e.g., BigQuery, Athena), along with a solid understanding of data modeling and ETL processes (e.g., Rivery or similar tools).</li><li>
Proven experience building dashboards and reports in BI tools, with Looker strongly preferred (or Tableau/Power BI with ability to ramp quickly).</li><li>
Strong analytical mindset with excellent attention to detail, able to ensure data integrity, uncover insights, and balance hands-on technical work with high-level analysis and interpretation.</li><li>
Strong communication and presentation skills, capable of translating complex data findings into clear, business-friendly language and visuals.</li><li>
Self-motivated and curious, with a strong interest in understanding how products work and how data can drive improvement.</li><li>
BA/BSc or Master&rsquo;s degree in Data Science, Analytics, Computer Science, or a related field (or equivalent practical experience in a data-focused role).</li></ul> 
﻿Bonus If You Have<ul><li>
Familiarity with the digital media landscape and content economics, including content licensing models and performance metrics.</li><li>
Experience working on analytics for B2B or SaaS products, particularly involving data sharing with external partners or clients.</li><li>
Knowledge of Voltax or similar online video platforms or content management systems from a data perspective.</li><li>
Exposure to financial or accounting concepts to support cost, revenue, and profitability analysis.</li><li>
Experience with collaborative analytics and documentation tools (e.g., Cursor, data dictionaries, partner guides).</li><li>
Basic scripting or programming skills (Python, R) for advanced data manipulation or extending BI capabilities.</li></ul> 
The expected salary range for this position is between $85,000 - $95,000 annually. Actual pay will be determined based on skills, experience, and location. The benefits available for this position include a flexible vacation policy, 15 paid holidays, paid parental leave, health insurance, 401(k) retirement plan.
Not sure that you're 100% qualified but are up for the challenge? We want you to apply! 
Minute Media is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Minute Media participates in E-Verify. 
Check the URL and email address of any correspondence with Minute Media. If it is not from @minutemedia.com, treat it as fraudulent. To learn how to protect yourself from recruitment fraud click here. 
Brand:
 
Minute Media</div>

Analytics Engineer

MMF Infotech

Job Title: Data Analytics EngineerLocation: Indore, MP (On-site)Experience: 2&ndash;3 YearsSalary Range: ₹3L &ndash; ₹4.5L PA (Dependent on skill set)Role ObjectiveWe are looking for a Data Analytics Engineer to bridge the gap between raw data engineering and business insights. You will be responsible for transforming messy data into clean, actionable datasets, ensuring our analysts and stakeholders have &quot;one version of the truth.&quot;Key Responsibilities<ul><li>Data Modeling: Design and maintain scalable data models (Star Schema/Snowflake) using dbt (data build tool).</li><li>Pipeline Management: Build and optimize ELT/ETL pipelines from various sources (APIs, SQL databases, Cloud storage) into our Data Warehouse.</li><li>Data Quality: Implement automated testing and documentation to ensure high data integrity and reliability.</li><li>Stakeholder Collaboration: Work with Data Scientists and Business Analysts to translate complex business requirements into technical data structures.</li><li>Performance Tuning: Optimize SQL queries and warehouse performance to reduce latency and costs.</li></ul>Technical Stack &amp; Requirements<ul><li>SQL: Expert level (CTEs, Window Functions, Query Optimization).</li><li>Programming: Proficient in Python (Pandas, NumPy) for data manipulation.</li><li>Warehouse: Experience with Snowflake, BigQuery, or Redshift.</li><li>Transformation: Hands-on experience with dbt is highly preferred.</li><li>BI Tools: Familiarity with Tableau, Power BI, or Looker.</li><li>Education: B.Tech/B.E. in Computer Science, IT, or a related field.</li></ul>What We Offer<ul><li>Opportunity to work with a modern data stack (MDS).</li><li>Competitive salary in line with Indore's growing tech market.</li><li>Flexible work culture and rapid growth opportunities.</li></ul>Job Type: Full-timePay: ₹25,000.00 - ₹40,000.00 per monthBenefits:<ul><li>Flexible schedule</li><li>Provident Fund</li></ul>Work Location: In person

Data analytics engineer

EPIROC

<div></div><div>Analytics Engineer

Are you passionate about transforming data into actionable insights and building analytics solutions that drive measurable business value? Join a global mining company that is reimagining how natural resources are explored, extracted, and managed&mdash;by leveraging the power of data and advanced analytics

We&rsquo;re looking for an Analytics Engineer to join our collaborative and supportive Global Analytics Engineering Team in the AI and Data Hub. You&rsquo;ll partner with experienced professionals across disciplines, design and optimize data models, ensure reliable data pipelines, and contribute to a modern analytics platform that empowers decision-making across the business.
Your mission

As an Analytics Engineer, you will design, build, and optimize data pipelines and analytics solutions that enable trusted, high-quality insights across the organization. You&rsquo;ll collaborate with cross-functional teams to translate complex business needs into scalable data models, transformations, and reporting solutions.

You&rsquo;ll play a key role in driving modern analytics practices&mdash;leveraging Databricks for data engineering, transformation, and performance optimization, promoting best practices in data modeling, SQL development, and data governance, and mentoring junior colleagues when needed.

You&rsquo;ll work hands-on with our Azure-based infrastructure and Databricks environment, applying strong knowledge of Python, SQL, and modern data tools to transform, validate, and deliver data for analytics and reporting. You&rsquo;ll also contribute to our DevOps workflows using Azure DevOps, including code reviews, testing, versioning, and deployment processes.

You will continuously learn and apply best practices in analytics engineering, modern data stack technologies, and data workflow management, while also contributing to group evaluations and assessments that shape our Analytics Engineering strategy and roadmap.

Key Responsibilities:
<ul>
<li>Develop and optimize in technical landscape, i.e. as Databricks, Python frameworks and DAX.</li>
<li>Enhance existing self-service models to support operational needs.</li>
<li>Implement scalable solutions for data processing, reporting, and analytics.</li>
<li>Work closely with the roadmap owner to execute initiatives according to the pipeline.</li>
<li>Ensure data quality, governance, and performance of analytics tools.</li>
<li>Support project delivery by providing technical input for timelines, dependencies, and resource planning.</li>
</ul>Your profile
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent experience) in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related field.</li>
<li>6+ years of hands-on experience in Data Analytics, Data Science, or AI-related IT roles</li>
<li>Expert coding skills in Python and SQL, with proven track record in large-scale data wrangling, model development workflows, and automation</li>
<li>Practical experience designing and deploying machine learning models into production (supervised/unsupervised, feature engineering, model evaluation, MLOps).</li>
<li>Familiarity or basic knowledge of Jobs and Pipelines in MS Fabrics, and ability to architect scalable and automated workflows.</li>
<li>Solid understanding of Azure cloud computing, DevOps practices, and CI/CD pipelines.</li>
<li>Experience working with version control systems and collaboration tools (Azure DevOps, Git).</li>
<li>Strong communication and leadership skills, with ability to mentor junior developers and present technical solutions to business stakeholders.</li>
<li>Passion for driving innovation and creating AI-powered data solutions that go beyond traditional reporting.</li>
</ul><ul><li>Strong problem-solving and technical design skills.</li>
<li>Ability to collaborate with business leaders and translate requirements into solutions.</li>
<li>Familiarity with Supply Chain data structures and operational reporting needs.</li>
<li>Basic project management awareness for technical execution and coordination.</li>
</ul><div>
<div><div><div><div>It all starts with people. The world needs metals and minerals for the energy transition and our cities and infrastructure must be developed to serve a growing population. To succeed, we need to speed up the shift towards more sustainable mining and construction industries. We at Epiroc accelerate this transformation, together with customers and business partners in more than 150 countries, by developing and providing innovative and safe equipment, digital solutions, and aftermarket support.</div>
<div>All new thinkers are welcome. We are looking for those who want to develop, grow, and dare to think new. In Epiroc we attract, develop, and retain diverse talent valuing authenticity and unique perspectives, driving our spirit of innovation. We foster an inclusive culture where diversity isn't just a goal but a part of our values and way of working. This is how we do business for a sustainable future. Learn more at www.epiroc.com</div></div></div></div></div></div><div></div>

Sr Analytics Engineer

Sana Commerce

<div>
 
 It all started in 2007, with a pizza and a plan. Sana Commerce is an e-commerce platform designed to help manufacturers, distributors and wholesalers succeed by fostering lasting relationships with customers who depend on them. We&rsquo;re a fast-growing SaaS company that allows you to take ownership of your career.
 
 
 
 
 As a
 
 Web Analytics Engineer
 
 , you will be responsible for implementing and managing web analytics tools, gathering and analysing data, and providing insights to improve our data products &amp; overall product adoption. Joining our growing Data Insights &amp; Analytics team, you will work closely with our marketing, product, and development teams to ensure data accuracy, optimize data-driven business decisions for both Sana as well as our customers.
 
 
 
 
 
 
 What you'll get:
 
 
 
 
 
 <ul>
 <li>
 
 Personal development.
 
 We believe that as our company grows, our people should be able to grow with us. We value learning and development opportunities for all our employees. So, from learning on the job to training and coaching, it&rsquo;s all there. Together with your manager, you are in charge of your own personal growth.
 </li>
 <li>
 
 Onboarding and buddy program.
 
 It&rsquo;s always quite new and exciting to start your next adventure. We value a strong onboarding. You will be joining our general onboarding, will be introduced to a buddy, and will get a role-specific onboarding as well.
 </li>
 <li>
 
 Entrepreneurial environment.
 
 We are a fast-growing international scale-up organization in software. We encourage initiatives and ideas from our people. We like to accomplish things together as a team.
 </li>
 <li>
 
 Health and well-being.
 
 We believe that every employee should be at their best, that&rsquo;s why we want to offer you private healthcare and a contribution to fitness subscription.
 </li>
 <li>
 
 Extra benefits
 
 : We offer flexible working hours, a hybrid working schedule, Friday afternoon drinks, Weekly lunch with your team, and monthly social activities.
 
 
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 
 
 
 What you'll be doing:
 
 
 
 
 
 <ul>
 <li>
 Configure and maintain web analytics tools and develop &amp; maintain actionable dashboards and reports.
 </li>
 <li>
 Collect and validate web traffic and conversion data.
 </li>
 <li>
 Integrate analytics data with other data sources for comprehensive analysis.
 </li>
 <li>
 Analyze web traffic patterns, user behaviors, and product performance.
 </li>
 <li>
 Provide actionable insights and recommendations to improve user engagement and conversion rates.
 </li>
 <li>
 Collaborate with marketing, product, and development teams to define key metrics and KPIs.
 </li>
 <li>
 Assist analysts to pull the right data from the warehouse for visualization purposes.
 </li>
 <li>
 Identify and troubleshoot data collection and reporting issues.
 </li>
 <li>
 Support product teams in conducting A/B testing and other optimization experiments.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 
 What you'll bring:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Marketing, or a related field.
 </li>
 <li>
 2-4 years of experience in Web Analytics Engineering or a comparable role.
 </li>
 <li>
 Strong proficiency in web analytics tools (
 
 Google Analytics or Adobe Analytics, preferably PiwikPro
 
 ).
 </li>
 <li>
 Proficient with SQL and data visualization tools (e.g. Tableau, Looker Studio etc., preferably Power BI &amp; DAX).
 </li>
 <li>
 Familiar with HTML/JavaScript and related web technologies.
 </li>
 <li>
 Strong analytical and problem-solving skills, ability to interpret complex data and translate it into actionable insights.
 </li>
 <li>
 Experience with conversion rate optimization is a plus.
 </li>
 <li>
 Detail-oriented with a focus on accuracy.
 </li>
 </ul>
 
 
 
 Who we are:
 
 
 
 
 
 
 So, what does it mean to be a part of the Sana Commerce team?
 
 
 
 <ul>
 <li>
 
 Entrepreneurial.
 
 Sana Commerce exists today because a few people had a great idea and brought that idea to life.
 </li>
 <li>
 
 Result-driven.
 
 We also know that being result-driven is about more than just KPIs. It&rsquo;s about creating value, tackling challenges head-on, and supporting our colleagues in reaching their goals.
 </li>
 <li>
 
 Customer-Centric.
 
 We&rsquo;re in it for the long haul. Through good times and bad, we stick together because we believe in our product, our promise, and our people.
 </li>
 <li>
 
 Team spirit.
 
 At Sana Commerce, everyone is eager to help their colleagues and success is always a team effort.
 </li>
 <li>
 
 Learning mindset.
 
 Sana Commerce people are constantly looking to improve and challenge their existing knowledge base.
 </li>
 </ul>
 
 Job descriptions can be tough to interpret. Even if you may not tick all the boxes,
 
 please explain your motivation for the role of Web Analytics Engineer in a cover letter
 
 , we strongly encourage you to apply if you still feel like you are a great match for this role.
 
 Apply now!
 
 
 
 
 
 
 
 Additional Information
 
 
 
 
 Hybrid
 
 
 
 
 
 
 
</div>

Web Analytics Engineer

Conure Information Technology Services

Role: BI / Analytics Engineer Employment Type: Full-time Location: Karachi (Hybrid)Experience: 5+ yearsAbout the Role We are looking for a BI / Analytics Engineer to turn data from our CRM platform into meaningful insights, dashboards, and reports to support business decisions.Key Responsibilities<ul><li>Design and build dashboards and analytical reports.</li><li>Model and transform data for analytics use cases.</li><li>Work with stakeholders to define KPIs and metrics.</li><li>Ensure data accuracy and consistency.</li><li>Optimize analytics queries and pipelines.</li></ul>Required Skills<ul><li>Strong SQL skills.</li><li>Experience with BI tools and dashboards.</li><li>Understanding of data modeling and warehousing concepts.</li><li>Experience working with large datasets.</li></ul>Nice to Have<ul><li>Experience with CRM or sales analytics.</li><li>Exposure to data pipelines or ETL tools.</li><li>Familiarity with cloud data platforms.</li></ul>Job Type: Full-timeWork Location: Hybrid remote in Karachi

BI / Analytics Engineer

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users. 
 
As a Senior Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.<ul><li>
Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.</li><li>
Ensure data is structured to support self-service analytics and business intelligence.</li><li>
Work closely with data engineers to define data requirements and enhance ETL pipelines.</li><li>
Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.</li><li>
Implement and enforce data quality best practices to ensure accuracy and consistency.</li><li>
Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.</li><li>
Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.</li></ul> 
Qualifications<ul><li> 
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
Strong proficiency in Python, SQL and experience with dbt for data modeling.</li><li>
Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).</li><li>
Familiarity with version control (Git) and CI/CD practices for data workflows.</li><li>
Understanding of data engineering principles, including ETL/ELT processes.</li></ul></div>

Senior Analytics Engineer

ITWORX

<div>Senior Advanced Analytics Engineer | Fulltime<div>
Job Description:<div>
Job purpose:
Understand Business requirements; implement proper data models; data migration and data presentation solutions. Interpret data; analyze results using statistical techniques.<ul><li> 
Key accountabilities and decision ownership:</li><li>
Collect and gather data from different sources through different methods</li><li>
Identify and understand the collected data then transform it to the desired format</li><li>
Support testing and fix bugs on a timely manner</li><li>
Implement requirements and design through the development of data pipelines</li><li>
Transfer knowledge to the support team by supporting postproduction bugs fixing</li><li>
Contribute to and assist leads and above in design and data modelling; and propose suggestions</li><li>
Perform data analysis for the purpose of identifying data quality issues and data mapping</li><li>
Develop predictive models that satisfy the business needs</li><li>
Document all tasks</li></ul></div></div><div> 
Job Requirements:<div><ul><li>
2+years of Advanced Analytics experience</li><li>
Bachelor's degree of computer science or relevant</li><li>
Data modeling</li><li>
Data Architecture</li><li>
Data warehouse
</li><li>Snowflake</li><li>
Data Integration
</li><li>Power BI</li><li>
Informatica CDI &ndash; nice to have</li><li>
Microsoft Fabric &ndash; nice to have</li></ul></div></div><div> 
Equal opportunity:
All qualified applicants will receive consideration for employment without regard to age, religion, gender, nationality or disability. All qualified candidates will be considered in the process</div></div>
 <div><div><div><div>Posted 1 weeks ago</div></div></div><div></div><div><div><div><div><div><ul><li>
Job Location</li><li>
Egypt</li></ul></div></div><div><div><ul><li>
Job Code</li><li>
2048</li></ul></div></div></div></div></div><div><div><div><div>
Job Overview</div><div></div><div><div><ul><li>
Experience</li><li>
2+ Years</li></ul></div></div><div></div><div><div><ul><li>
Job Level:</li><li>
Mid Career</li></ul></div></div><div></div><div><div><ul><li>
Education</li><li>
Bachelor's degree of computer science or relevant</li></ul></div></div></div></div></div></div>

Senior Advanced Analytics Engineer

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