operations data analyst

Trendyol Group

<div>
 
 
 About the Team
 
 
 
 At Trendyol Operations, we optimize systems, enhance efficiency, and harness technology to deliver seamless e-commerce experiences. From robotics to automation, we leverage cutting-edge solutions to meet the needs of millions. We work cross-functionally with teams across the business, turning ambitious goals into reality through data, speed, and teamwork. In a culture that values ownership, impact, and inclusivity, we grow together &mdash; as individuals and as a team.
 
 
 
 
 
 
 About The Role
 
 
 
 In this role, you will focus on automating performance tracking for partners and diving deep into large datasets to identify and drive key metric improvements 🚀. You will develop custom reports and models that translate complex data into actionable solutions for our operations teams, playing a central role in data-driven decision-making and supporting critical project and backlog management processes.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Create, analyze, and share daily, monthly, and annual reports with relevant teams
 </li>
 <li>
 Perform instant tracking of performance reports on sellers and cargo partners, generating automatic reports for the performance parameters. / automate the regular performance reports.
 </li>
 <li>
 Exploring KPI improvement areas with granular analysis,
 </li>
 <li>
 Work with large datasets for data extraction, analysis, presentation, and visualization
 </li>
 <li>
 Create useful reporting, propensity models for the needs of the teams, evaluate the reporting requests and come up with solutions
 </li>
 <li>
 Conduct analyses that guide the operation teams and solve their problems
 </li>
 <li>
 Supporting backlog management and project management processes
 </li>
 </ul>
 
 
 
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree from engineering departments of reputable universities (engineering field)
 </li>
 <li>
 1-3 years of experience in related position (e-commerce, operations experience, analysis &amp; reporting)
 </li>
 <li>
 Experienced in the use of SQL and Python or similar reporting tool ( pref. Looker &amp; Big Query, Data Studio)
 </li>
 <li>
 Good command of MS Office applications (especially excel knowledge)
 </li>
 <li>
 Strong analytical and interpretation skills.
 </li>
 <li>
 Good team player with strong communication skills
 </li>
 <li>
 Being interested in different departments and disciplines to actively contributing to company strategy and priorities
 </li>
 <li>
 Fluent in English (both written &amp; oral)
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 - Hybrid working model with flexibility:
 
 a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 
 - Customisable FlexBenefits budget:
 
 Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
 
 
 
 - Well-being support:
 
 Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.
 
 
 
 - Personalised training allowance and learning opportunities:
 
 Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
 
 
 
 - Responsibility from day one:
 
 Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 
 - A diverse, international team:
 
 Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 
 
 
 - Opportunities to grow with the best:
 
 Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 
 - Meaningful connections beyond tasks:
 
 Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply today, we look forward to taking the next step with you.
 
 
 Want to get to know the team better first? Explore our Career Website,LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
 
</div>

Operations Data Analyst

<div>
 
 
 About the Team
 
 
 
 At Trendyol Operations, we optimize systems, enhance efficiency, and harness technology to deliver seamless e-commerce experiences. From robotics to automation, we leverage cutting-edge solutions to meet the needs of millions. We work cross-functionally with teams across the business, turning ambitious goals into reality through data, speed, and teamwork. In a culture that values ownership, impact, and inclusivity, we grow together &mdash; as individuals and as a team.
 
 
 
 
 
 
 About The Role
 
 
 
 In this role, you will be responsible for creating, automating, and analyzing reports to monitor sellers and cargo partners effectively. You will work with large datasets to extract insights, develop KPI-focused analyses, and build models that support operational decision-making. By providing clear reporting, visualizations, and data-driven solutions, you will guide teams in identifying improvement areas and solving operational challenges.
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Create, analyze, and share daily, monthly, and annual reports with relevant teams
 </li>
 <li>
 Perform instant tracking of performance reports on sellers and cargo partners, generating automatic reports for the performance parameters. / automate the regular performance reports
 </li>
 <li>
 Exploring KPI improvement areas with granular analysis
 </li>
 <li>
 Work with large datasets for data extraction, analysis, presentation, and visualization
 </li>
 <li>
 Create useful reporting, propensity models for the needs of the teams, evaluate the reporting requests and come up with solutions
 </li>
 <li>
 Conduct analyses that guide the operation teams and solve their problems
 </li>
 </ul>
 
 
 Expected Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree from engineering departments of reputable universities (preferably industrial engineering)
 </li>
 <li>
 1-3 years of experience in related position (e-commerce, operations experience, analysis &amp; reporting)
 </li>
 <li>
 Knowledge or genuine interest in the use of SQL or similar reporting tool (pref. Looker &amp; Big Query, Data Studio or Tableau)
 </li>
 <li>
 Strong sense of analytical thinking, detail-oriented and eagerness to learn
 </li>
 <li>
 Team player with good communication skills
 </li>
 <li>
 Fluent in English ( both written &amp; oral)
 </li>
 </ul>
 
 
 What We Offer
 
 
 
 
 - Hybrid working model with flexibility:
 
 a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 
 
 
 - Customisable FlexBenefits budget:
 
 Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
 
 
 
 - Well-being support:
 
 Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.
 
 
 
 - Personalised training allowance and learning opportunities:
 
 Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
 
 
 
 - Responsibility from day one:
 
 Take full ownership from the start in a culture where every voice is heard and valued.
 
 
 
 - A diverse, international team:
 
 Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 
 
 
 - Opportunities to grow with the best:
 
 Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 
 
 
 - Meaningful connections beyond tasks:
 
 Be part of team rituals, events, and social activities that help us stay connected and inspired.
 
 
 
 
 
 
 Take the Next Step
 
 
 
 If this role excites you, apply today, we look forward to taking the next step with you.
 
 
 Want to get to know the team better first? Explore our Career Website,LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
 
</div>

Delivery Operations Data Analyst

Kohlberg Kravis Roberts & Co.

<div><div>COMPANY OVERVIEW

KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR&rsquo;s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR&rsquo;s investments may include the activities of its sponsored funds and insurance subsidiaries.</div><div>
TEAM OVERVIEW

KKR&rsquo;s Technology team is responsible for building and supporting the firm&rsquo;s technological foundation. Technology is regarded as a key business enabler at KKR and is an important accelerator for global scale and business process transformation. We drive a culture of excellence through efficient workflow automation, the democratization of data, and the strategic implementation of emerging technologies to consistently serve our business needs.

POSITION SUMMARY

The Senior Data Analyst will serve as the expert for Marketing data, ensuring that marketing data is sourced, engineered, structured, modeled, integrated, and analytics ready. This role focuses on building, maintaining, and validating marketing data assets across systems like Marketo, Salesforce, Snowflake, and web platforms. This individual is expected to understand Marketing data across KKR and work closely with digital, and marketing stakeholders to unify data sources, engineer data, optimize data flows, and enable meaningful insights that drive marketing performance and ROI.

RESPONSIBILITIES

Data Management and Integration
<ul>
<li>Design, maintain, and enhance data pipelines connecting Marketo, Salesforce, web analytics, and other marketing systems to Snowflake or centralized data environments.</li>
<li>Collaborate across business teams to help translate data requirements to (data) engineering specs, validate ETL logic, and ensure marketing data is structured and modeled for analytics.</li>
<li>Create and maintain data dictionaries, source-to-target mappings, and documentation for marketing datasets.</li>
<li>Identify correlations between various data sets/sources to design the analytics Marketing data model for KKR</li>
<li>Proactively identify and resolve data issues; establish data validation checks and reconciliation processes.</li>
</ul>
Data Analysis and Modeling
<ul>
<li>Query, join, and transform large datasets using SQL (and optionally Python/R) to enable campaign, channel, and funnel analysis.</li>
<li>Develop and maintain key marketing metrics such as conversion rate, engagement rate, ROI, and lead-to-opportunity ratios.</li>
<li>Support creation of multi-touch attribution and funnel models to measure campaign influence across channels.</li>
<li>Analyze campaign data to uncover trends, identify performance drivers, and inform targeting and segmentation strategies.</li>
<li>Support forecasting of marketing performance and lead flow using historical data and predictive indicators.</li>
</ul>
Partnership and Collaboration
<ul>
<li>Serve as the data SME for Marketing Analytics, partnering with the Marketing team to translate business questions into data requirements.</li>
<li>Collaborate cross-functionally with the Data Hub, Digital Analytics, and Marketing Operations teams to streamline data availability and integrity.</li>
<li>Act as a liaison between marketing and technical teams to ensure consistent metric definitions and business logic.</li>
</ul>
Enablement and Reporting Support
<ul>
<li>Enable reporting automation and data accessibility by preparing well-structured tables and views.</li>
<li>Partner with analysts and stakeholders to interpret results and guide data-driven marketing strategies.</li>
</ul>
#LI-ONSITE</div><div><div><div><div>
This is the expected annual base salary range for this Boston-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.</div></div>
Base Salary Range
$90,000 - $125,000 USD</div></div><div>
KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.</div></div>

Senior Product Operations Data Analyst for Marketing New

BlackRock

<div><div><div>Location:</div>
<div><div>Mumbai, Maharashtra</div>
</div></div><div><div>Team:</div>
<div>Data Management</div>
</div><div>Job Requisition #: R256389</div>
<div>Date posted: Oct. 22, 2025</div></div>
 <div><h2 class="jobSectionHeader">Job description</h2>
<div>About this role
Overview:
We are looking for a high performing individual who is passionate about data to provide data pipeline support, operations and engineering across multiple data domains and data platforms. Initially you will proactively identify and resolve data pipeline issues to ensure high quality on time data for our clients. In addition, you will optimize pipeline performance and understand how our clients use their data.
Key responsibilities:<ul><li>
Monitor and manage data pipelines to ensure the timely and accurate flow of data</li><li>
Resolve quality checks alerts to ensure the accuracy, completeness, and consistency of data</li><li>
Monitor and optimize data pipeline performance to meet and exceed established service level agreements (SLAs)</li><li>
Collaborate with data engineering, data stewards, data owner teams to implement improvements in data quality processes and data pipeline performance.</li><li>
Implement proactive measures to identify and resolve data issues automatically.</li><li>
Maintain comprehensive documentation of data operations processes, monitoring procedures, and issue resolution protocols.</li><li>
Ensure documentation and operating procedures are up to date to facilitate knowledge transfer and training.</li></ul>
Knowledge and Experience:<ul><li>
1-3 years&rsquo; experience in hands-on data operations including data pipeline monitoring, support and engineering.</li><li>
Hands on technical experience including troubleshooting data processing, orchestration (Airflow) data ingestion, cloud-based databases/warehousing (Snowflake) and business intelligence tools</li><li>
Passionate about data platforms, data quality and everything data</li><li>
Excellent understanding of data quality assurance processes and methodologies.</li><li>
Experience monitoring, and supporting data pipelines that are fast, scalable, reliable, and accurate.</li><li>
Understand clients' data requirements to meet client data operations needs</li><li>
Strong analytical and problem-solving skills, with a keen attention to detail</li><li>
Effective communication and collaboration abilities</li><li>
Bachelor&rsquo;s degree in computer science, Engineering, Mathematics or Statistics</li></ul>
Our benefits 
 
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.</div>
<div><div>Job Requisition #
 
R256389</div></div></div>

Data Operations, Aladdin Data, Analyst

ARENCO REAL ESTATE EST

We are seeking a detail-oriented Data Analyst to join our Car Rental Group. The role involves compiling, analyzing, and interpreting large volumes of operational and customer data to support management in strategic decision-making. The ideal candidate will help transform raw data into actionable insights that improve fleet utilization, customer experience, and business performance. Key Responsibilities:· Collect, consolidate, and manage large datasets from rental operations, fleet management, and customer interactions.· Analyze data to identify trends, patterns, and opportunities for efficiency and revenue growth.· Prepare management reports, dashboards, and visualizations to aid strategic decision-making.· Provide actionable insights to optimize fleet utilization, pricing strategies, and customer satisfaction.· Ensure data accuracy, integrity, and timely reporting.· Collaborate with operations, sales, and finance teams to understand business requirements and provide analytical support.· Continuously improve data collection, reporting processes, and analytics capabilities.

Data Analyst

Al-Attiya Motors And Trading Company - KIA Motors

About the Role:We are seeking a detail-oriented and analytical Data Analyst to join our team in the automotive spare parts sector. This role is key to driving data-informed decisions that improve inventory management, pricing strategies, and operational efficiency across our spare parts business. The ideal candidate combines strong technical skills with a practical understanding of spare parts operations.Key Responsibilities:Collect, clean, and analyze spare parts data (sales, inventory, procurement, etc.) to identify trends, inefficiencies, and opportunities for improvement.Build and maintain interactive dashboards and performance reports using tools like Power BI or Tableau.Collaborate with sales, service, and procurement teams to optimize stock levels, enhance parts availability, and reduce excess inventory.Conduct competitor and market analysis to support pricing decisions and product performance evaluations.Provide actionable insights and recommendations to improve forecasting, supply chain efficiency, and cost control.Support system improvements and data accuracy across ERP platforms and parts catalog systems.Requirements:Bachelor&rsquo;s degree in Data Analytics, Statistics, Engineering, Business, or a related field.Proven experience as a Data Analyst, preferably in the automotive or spare parts industry.Proficient in Excel and SQL, with strong command of data visualization tools (e.g., Power BI, Tableau).Experience with ERP systems and understanding of spare parts catalogues is a plus.Strong analytical thinking, problem-solving, and communication skills.Ability to work independently and effectively in cross-functional teams.Job Type: Full-time

Data Analyst - Automotive - Spare Parts

Apna Mart

<div>
 
 
 Role Overview:
 
 
 
 We are seeking a highly analytical and proactive
 
 Data Analyst
 
 to support the Founder&rsquo;s Office. The role is ideal for someone who thrives on insights, loves turning data into actionable strategies, and wants a front-row seat to shaping business decisions in a fast-growing hyperlocal retail chain.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze data across multiple business verticals, including sales, operations, marketing, and supply chain.
 </li>
 <li>
 Prepare regular and ad-hoc dashboards, reports, and insights for the Founder and senior leadership.
 </li>
 <li>
 Identify trends, patterns, and anomalies in operational and sales data to support strategic decisions.
 </li>
 <li>
 Work closely with cross-functional teams to understand business challenges and provide data-backed solutions.
 </li>
 <li>
 Monitor key performance indicators (KPIs) and provide actionable recommendations to improve efficiency, growth, and profitability.
 </li>
 <li>
 Assist in market research, competitor analysis, and consumer behavior studies to inform strategic initiatives.
 </li>
 <li>
 Support special projects directly under the Founder&rsquo;s Office, requiring quick analysis and precise reporting.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Economics, Mathematics, Computer Science, or related field.
 </li>
 <li>
 Strong proficiency in Excel, SQL (Python, or R is a plus)
 </li>
 <li>
 Experience with BI tools like Tableau, Power BI, or Looker preferred.
 </li>
 <li>
 Ability to synthesize complex datasets into clear, actionable insights.
 </li>
 <li>
 Strong problem-solving skills with a keen eye for detail.
 </li>
 <li>
 Excellent communication skills to present findings to leadership.
 </li>
 <li>
 High level of curiosity and eagerness to learn about business operations.
 </li>
 </ul>
 
 
</div>

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