senior data analyst

Alliance Credit Union

<div>ALLIANCE is building a Data and Development Department to strengthen how data is used across the organization and to support informed, data-driven decision making. The Senior Data Analyst plays a critical role in advancing these efforts by transforming complex data into clear, accurate, and actionable insights that support business and operational teams.
Working closely with a cross-functional data team that includes data engineers, software engineers, DevOps, and analysts, this role independently leads the exploration, preparation, and analysis of data across multiple systems and datasets. The Senior Data Analyst leverages SQL and Python to perform advanced analysis, validate data integrity, and develop reports and dashboards that help uncover trends, measure performance, identify opportunities, and support strategic initiatives.
This role focuses on delivering sophisticated analytical solutions, strengthening enterprise reporting capabilities, and expanding the organization&rsquo;s use of trusted data. The Senior Data Analyst serves as a subject matter expert and trusted advisor to stakeholders while providing guidance and mentorship to junior analysts, helping ensure that data is accessible, well-understood, and effectively used to drive better outcomes for the credit union and its members.
Role
To use advanced SQL and Python to query, analyze, and validate data from multiple databases, datasets, and data sources, including APIs, transform that information into meaningful insights, and deliver advanced reports, dashboards, and data tables that enable business partners and members of the data team to make informed decisions while serving as a technical resource and mentor to other analysts.</div>

Senior Data Analyst

We are looking for an experienced Senior Data Analyst with 8+ years of expertise in Business Intelligence, Data Analytics, and ETL development. The ideal candidate will have strong hands-on experience with Power BI, Microsoft Fabric, Azure Data Factory, SQL, and cloud-based analytics solutions to deliver data-driven insights and support strategic business decisions. Key Responsibilities<ul><li>Develop interactive Power BI dashboards and reports.</li><li>Analyze large datasets to generate actionable business insights.</li><li>Design and maintain ETL pipelines using Azure Data Factory and SQL.</li><li>Build and optimize data models and reporting solutions.</li><li>Collaborate with stakeholders to gather business requirements.</li><li>Ensure data quality, security, and reporting accuracy.</li><li>Support business teams with data analysis and performance reporting.</li></ul>Requirements<ul><li>Bachelor's degree in Computer Science, IT, Data Science, or a related field.</li><li>8+ years of experience in Data Analytics or Business Intelligence.</li><li>Strong expertise in Power BI, SQL, Microsoft Fabric, and Azure Data Factory.</li><li>Experience with Azure Synapse, SQL Server, Snowflake, or other data warehouse technologies.</li><li>Knowledge of Python, Databricks, or Spark is a plus.</li><li>Excellent analytical, problem-solving, and communication skills.</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Fabric Analytics Engineer Associate</li><li>Microsoft Certified: Data Analyst Associate</li><li>Power BI Certification</li></ul>Pay: Up to Rs300,000.00 per monthWork Location: Hybrid remote in Karachi

Valiant Residential

<div>Senior Data Analyst (Dallas, TX) - Responsibilities include, but are not limited to:<ul><li>assist in the development and support for Valiant Business Intelligence (BI), an internal &amp; external</li></ul>
platform used by Valiant Residential &amp; clients.<ul><li>Implement robust, reliable and custom reporting and visualizations using Power BI.</li><li>Develop and maintain self-service reporting solutions and/or automated solutions.</li><li>Use SQL as main tool for data preparation: extracting, cleansing, aggregation, and summarizing</li></ul>
data to create meaningful visualizations.<ul><li>Participate in the design and implementation of logical and physical data models.</li><li>Review proposed production changes to ensure highest quality data standards and lowest production</li></ul>
impact.<ul><li>Navigate, understand, and leverage existing complex data structures for reporting.</li><li>Proactively make recommendations and identify opportunities to solve business problems through</li></ul>
models, charts, graphs, and dashboards.<ul><li>Maintain, update, and distribute client-facing and internal dashboards that track multifamily</li></ul>
analytics and Key Performance Indicators.<ul><li>Support production BI solutions by monitoring and tuning SQL queries and data loads.</li><li>Addressing user questions concerning data integrity.</li><li>Monitoring performance and communicating functional and technical issues proactively.</li><li>Interact with senior management, department leaders and other employees to develop and reach</li></ul>
agreement on reporting requirements and priorities.<ul><li>Coordinate system development with IT to enhance automation and visibility. Full-time position.</li></ul>
Requirements: Bachelor's degree or foreign equivalent in computer science, engineering, or related field
plus five years of progressive experience in the job offered or related occupation. In the alternative, Master's
degree or foreign equivalent in computer science, engineering, or related field.
Send resume/CV to Paul Athens, Human Resources Director, Valiant Enterprises, LLC, 12001 North
Central Expressway, Ste 1250, Dallas, TX 75243 or via email to PAthens@valiantresidential.com.</div>

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5><div>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
</div>As a Senior Data Analyst , you will be fully-participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data &amp; Analytics space. The role involves the analysis aspects of sourcing and transforming data to ensure it delivers on the insights required by Emirates Airlines and Emirates Group business stakeholders. 
 
In this role you will:
<ul><li>Understands business domains well (e.g. airline, passenger, pilot &amp; crew, aircrafts, HR, Finance). Work with product owners and business users to understand operational source system data and business transformation / data cleansing rules required to ensure that analytical solutions generate the insights required by the business. Operate with a data-driven mindset, helping the business generate those insights based on data.
</li><li>Assist in the collection of data dictionaries and creation of business glossaries. Maintain core data repositories as data sources and interfaces change over time.
</li><li>Understand and maintain data models and data interfaces for the analytical environment to understand availability of data for the required business reports.
</li><li>Conduct simple data gap analysis and data profiling to analyse availability and quality of incoming data and advise on any data cleansing rules, or issue resolution options in case of incidents (including analysis of potential data quality issues). Incorporate business transformation rules into solution designs or mapping documents to ensure solutions provide timely business value.
</li><li>Document proposed or modified data interfaces, including fit for data models, data flow timing, source-to-target mapping, uniqueness criteria and data transformation rules including data validations and controls.
</li><li>Provide feedback on logical and physical data models to ensure they effectively meet the analytical requirements and expectations.
</li><li>Collaborate with the quality engineers to identify areas which need to be validated and ensure data exposed to business stakeholders satisfies their analytical needs.
</li>Keep current on evolving Emirates Airlines and Emirates Group data and analytics business knowledge domains to accurately assess the quality of the data and ensure business glossaries remain up-to-date. 
<li>
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
<div><ul><li>Degree or Honours (12+3 or equivalent)
</li><li>Experience in Information Technology
</li><li>Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering. Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have
</li><li>3+ yrs in Data Analysis experience (Fewer years&rsquo; experience will be considered for Masters degree holders)
</li><li>Minimum 3+ years conducting data analysis tasks (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping)
</li><li>Proven track record developing and maintaining data documentation artefacts in organizations of similar size and complexity within project deadlines
</li><li>Deep expertise on business transformation rules and understanding of data solution designs
</li><li>Experience writing SQL queries to analyse data and provide results to business users or project team members
</li><li>Experience with building information designs for data-centric projects on one or more of the following (preferably within a airlines industry): Data Warehouses, Big Data Environment for Analytics, Data API, Business Intelligence Solutions
</li>Airline industry experience preferred (or expertise in a supporting function such as HR or Finance); needs to understand the business domains well to conduct data modelling and analysis activities 
<li>
</li></ul></div>Knowledge/Skills:
<div><ul><li>Good communication skills; able to clearly communicate rationale and approaches to peers and some business stakeholders
</li><li>Operates with a &ldquo;You Code It, You Own It&rdquo; mindset (i.e. supports the products they build)
</li><li>Demonstrated problem-solver; able to design and document solutions independently
</li><li>Strong work ethic, being results-oriented, and accuracy / attention to detail are critical
</li><li>Demonstrated initiative, able to work both independently and as a team member
</li><li>Team player; able to collaborate with others to remove blockers, solve complex data problems and debug/resolve issues
</li><li>Able to deliver solutions (and associated value) iteratively
</li>Is accountable and displays positive attitude 
<li>
</li></ul></div>Technology Domain Key Technologies/Tools:
Big Data &amp; Distributed Processing :Querying HDFS or ADLS file storage systems, with tools such as Hive or H-Base, ElasticSearch, Experience with AVRO / PARQUET file formats nice-to-have
Data Analysis, Modelling and Reporting :SQL, Snowflake, Data Vault 2.0, MicroStrategy, Power BI 
 
Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.</div>

Elsevier

<div>Senior Product Data Analyst 
 
About Our Company
Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems. Applying customer centricity, product and data best practices, and a passion for excellence, we deliver world-class customer solutions. 
 
About Our Team
The Product Analytics team turns behavioural and product data into insights that help us evaluate product changes, improve user experience and influence product strategy. We work closely with Product Managers, UX Designers, Engineers and senior stakeholders to understand user behaviour and identify opportunities with the greatest customer and business impact. 
 
About The Role
In this role, you will lead the Product Analytics scope for one or more of our fast-growing, innovative, world-leading products, such as ScienceDirect. 
 
You will be part of an analytics team of 30+ analysts located in Amsterdam and London, working with product teams and stakeholders across the US, UK and the Netherlands. 
 
Responsibilities 
 
Understand User Behaviour
Use behavioural and transactional data to measure user journeys, adoption, engagement, retention, conversion and satisfaction. Use techniques such as funnel analysis, cohort analysis, user segmentation and feature adoption to generate actionable insight. 
 
Define Product Success
Partner with Product Managers and other stakeholders to translate customer needs, product strategy and business objectives into clear product goals (OKRs) and success metrics. 
 
Evaluate Product Changes
Design measurement approaches for new product features, launches and iterations (including A/B testing and experimentation), to determine whether changes are driving customer and business outcomes. 
 
Use AI-Assisted Practices
Use AI tools to accelerate analytical workflows, including SQL and Python development, exploratory analysis, visualisation and documentation. Apply agentic working practices by breaking complex questions into clear briefs for AI assistants and applying human judgement and validation checks to ensure results are accurate and useful. 
 
Communicate Insight Clearly
Tell compelling stories with data through concise analysis, presentations, and dashboards. Communicate insights and recommendations effectively to audiences ranging from product squads to senior leadership. Help stakeholders interpret results and make confident, data-informed decisions. 
 
Improve Measurement Quality
Work with Product and Engineering colleagues to ensure the right product data capture is in place. Define tracking requirements that make future product decisions easier and more reliable. 
 
Requirements 
 
Product Analytics Experience
A minimum of 4 years of hands-on experience in Product Analytics, Digital Analytics or a closely related analytical role where you have used data to influence product decisions, feature development or customer experience improvements. Whether you are an emerging senior analyst or a seasoned expert, we would love to hear from you. 
 
Technical Proficiency 
 
<ul><li>SQL and Python/R - Advanced skills for deep-dive analysis, statistical work, and visualisation.
</li><li>Web Analytics &ndash; Familiarity with / desire to work with Adobe Analytics to analyse user behaviour.
</li><li>AI Tools &ndash; Experience of tools like ChatGPT / Codex, Microsoft Copilot and Claude Code to accelerate but not replace analytical reasoning.
</li>Familiarity with Snowflake, Tableau, Databricks or similar platforms is useful. 
<li>
</li></ul> 
Stakeholder Influence 
 
Ability to work effectively with Product Managers, UX Designers, Engineers and senior stakeholders. Answer strategic questions, advocate a data-driven culture and empower stakeholders to use data well. Challenge assumptions constructively to influence strategy and prioritise product roadmaps to deliver better outcomes. 
 
Communication And Collaboration 
 
Fluent in English, with strong presentation skills. Comfortable working in cross-functional and culturally diverse teams across different locations and time zones. 
 
Growth Mindset 
 
Enthusiasm for learning, curiosity about users and products, and a positive, humble attitude. You are not afraid to ask questions and are comfortable working with ambiguity. 
 
Work In A Way That Works For You 
 
Wellbeing and happiness are key to a long and successful career, and we promote a healthy work/life balance across the organisation. 
 
With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. 
 
We support flexible working hours, allowing you to fit everything in and work when you are most productive. 
 
Working for you 
 
As this role is global, benefits may vary according to your location. These are some of the benefits we are delighted to offer:
&middot; Health care plans and benefits
&middot; Modern Family Benefits, including maternity, paternity, adoption and surrogacy
&middot; Life assurance and accident policies
&middot; Comprehensive pension and retirement plans
&middot; Access to learning and development resources
&middot; Your recruiter will advise you on the benefits package for your location
This role is covered by the Collective Labor Agreement Publishing Industry.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Senior Data Analyst I

Pennylane SAS

<div>Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)? Are you looking for a work environment that values trust, proactivity, and autonomy? Are our Engineering principles aligned with your vision? Then Pennylane is the right place for you!<div> 
</div><h2 class="jobSectionHeader">
Our vision</h2>
We aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones). We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while giving them access to the key financial information they need to make the best decisions for their business.<div> 
</div><h2 class="jobSectionHeader">
About us</h2>
Pennylane is one of the fastest growing Fintechs in France (and soon in Europe!). In 5 years of existence, we've managed to:<ul><li>
Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants</li><li>
Raise a total of &euro;400 million, including from Sequoia &mdash; the famous Silicon Valley fund that invested early in companies like Google, Facebook, Airbnb, Stripe and Paypal</li><li>
Grow from 7 cofounders to 1,000 happy Pennylaners, and earn a place among the greatest companies to work for in France (and remotely), with a 4.6/5 rating on Glassdoor</li><li>
Build an international environment with more than 25 nationalities and a strong remote-friendly culture, where 30% of employees already work from all parts of Europe</li><li>
Earn the trust of thousands of customers and accounting firms, with outstanding ratings</li><li>
Reach more than 1,000,000 small and medium-sized enterprises (SMEs) and over 6,000 accounting firms using Pennylane in France</li></ul>
WHY this position is of utmost importance to reach our mission
At Pennylane, every decision that is not backed by data is likely to be challenged (when data is available of course). This culture is embraced by the leadership team, and actively promoted everywhere. The role of the data team is to make this possible by treating data like a production asset, making it available company-wide, and using it proactively to improve Pennylane's user experience.
The Germany team is a fast-growing international frontier for Pennylane - 3 product squads running in parallel, 40+ people across engineering and design and a scaling business team. By joining us as the first Senior Data Analyst working in the Germany team, you'll have the opportunity to build the analytics foundation of a high-growth BU and directly shaping how the team makes decisions and scales.
HOW you will contribute to the company
As a Senior Data Analyst, you will join the Science &amp; Analytics team (20+ people), inside the Data department (50+ people) and you will act as the data partner embedded in the Germany team.<ul><li>
You will proactively use data to identify opportunities to grow our product and business, working across both product squads and business teams (CS, AMs, Ops).</li><li>
You will be a real sparring partner for Product and Business leaders in Germany, feeding their strategy by anticipating the most important questions, and leveraging your analytical and statistical skills to answer them.</li><li>
You will steer decision-making through rigorous analyses, navigating ambiguity and collaborating across domains when needed.</li><li>
You will contribute to our self-service approach to analytics by understanding your partners' needs and promoting a data-driven culture. You will contribute directly to data models in the data warehouse (using dbt).</li><li>
You will contribute to shaping the Data Engineering roadmap to deliver the best experience for your colleagues on the data platform.</li></ul>
WHAT you can expect from your life at Pennylane
Within one month:<ul><li>
You will learn everything about our company, our teams, and our vision during the first onboarding week.</li><li>
You will get familiar with our stack, and have delivered a few small projects which will give you a concrete taste of our tools &amp; processes.</li><li>
You will be given time to meet your future stakeholders, and gain a deep knowledge of the Germany team you support.</li></ul>
Within 3 months:<ul><li>
You will be fully in charge of supporting the Germany team, prioritizing your topics with its decision makers.</li><li>
You will be comfortable with our technical stack (Python, Redshift, dbt, Amplitude).</li><li>
You will contribute to larger cross-company projects.</li></ul>
Within 6 months:<ul><li>
You will proactively contribute to the team's roadmap.</li><li>
You will work with engineers and data practitioners on improving our stack and data platform.</li><li>
You will share your learnings and best practices within the team.</li></ul>
And beyond: the data team will continue growing with the company
Which means:<ul><li>
Opportunities to recruit and mentor new team members,</li><li>
Increased accountability in project leadership,</li><li>
Responsibilities to design and implement new processes, tools and best practices to make sure that your team works even more efficiently.</li></ul>
Who are we looking for?
You're the right candidate if you:<ul><li>
Have had previous experiences as Data Analyst, ideally in scale-up environments (5-6 years)</li><li>
Are seasoned working with SQL, dbt and data visualization tools</li><li>
Are comfortable collaborating with Product and Engineering Managers, as well as Business partners, beyond the data team</li><li>
Have a strong business acumen and are seen as a trusted partner by your business stakeholders</li><li>
Have strong communication skills and are capable of articulating your ideas clearly</li><li>
Have a do-er attitude and are comfortable with MVP approach</li><li>
Are fluent in English - German is a plus</li></ul>
What does the recruitment process look like?<ul><li>
A first interview with our Talent Acquisition Manager</li><li>
A case study interview to discuss a topic closely related to one of our priorities (60 min)</li><li>
A past project interview to hear about your experience (60 min)</li><li>
An interview with our Tech &amp; Product leaders to discuss our company culture (45 min)</li></ul>
Donn&eacute;es personnelles
Pennylane traite vos donn&eacute;es pour g&eacute;rer votre candidature et &eacute;valuer votre ad&eacute;quation au poste. Si votre candidature n&rsquo;aboutit pas, vos donn&eacute;es peuvent &ecirc;tre conserv&eacute;es 2 ans &agrave; compter de notre dernier &eacute;change ou de la cl&ocirc;ture du recrutement afin de constituer &amp; g&eacute;rer un vivier de candidats. Vous pouvez vous opposer &agrave; tout moment et demander la suppression de vos donn&eacute;es en &eacute;crivant &agrave; : dpo@pennylane.com.
 
Notre data policy 
 
Personal Data
Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more 
 
Personenbezogene Daten
Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung f&uuml;r die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, k&ouml;nnen Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie k&ouml;nnen jederzeit Widerspruch einlegen und die L&ouml;schung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren</div>

Senior Data Analyst - Germany team

foodpanda

<div>
 foodpanda is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 
 
 
 Job Description
 
 
 
 As a
 
 Senior Data Analyst (Logistics Analytics),
 
 you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you&rsquo;ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.
 
 
 <ul>
 <li>
 Own a logistics problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, and service performance.
 </li>
 <li>
 Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact logistics challenges.
 </li>
 <li>
 Apply advanced analytical methods, including simulation, optimization, and statistical modeling, to solve complex problems such as fleet sizing, routing, staffing, and demand planning.
 </li>
 <li>
 Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.
 </li>
 <li>
 Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.
 </li>
 <li>
 Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the logistics value chain.
 </li>
 <li>
 Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.
 </li>
 <li>
 Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.
 
 
 </li>
 </ul>
 Find out more about our Data Analytics folks here:
 
 
 <ul>
 <li>
 Turn insights into impact!
 </li>
 <li>
 Looking for a career in data analytics? This could be the opportunity for you!
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative field (e.g., Statistics, Operations Research, Mathematics, Computer Science, Engineering) or equivalent practical experience, with 5&ndash;8 years of experience in analytics or data science.
 </li>
 <li>
 Proven experience in logistics, supply chain, or operations analytics, with a track record of solving problems such as fleet sizing, routing, staffing, or demand planning and delivering measurable business impact.
 </li>
 <li>
 Strong technical proficiency in SQL and Python, with experience working with large-scale datasets (e.g., writing efficient queries, optimizing performance, working with NoSQL or distributed data systems).
 </li>
 <li>
 Experience working with modern data platforms, preferably within the Google Cloud ecosystem (e.g., BigQuery, Vertex AI, Google Colab, Google Sheets), or similar cloud-based data stacks.
 </li>
 <li>
 Experience applying advanced analytical methods, including simulation, optimization, and statistical modeling to real-world business problems.
 </li>
 <li>
 Experience in causal inference and experimentation, including designing and analyzing experiments (e.g., A/B, cluster, switchback) and applying quasi-experimental methods (e.g., DiD, synthetic controls).
 </li>
 <li>
 Strong problem-solving and problem structuring skills, with the ability to independently navigate ambiguity and translate business questions into robust analytical approaches.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 A dynamic and challenging work environment.
 </li>
 <li>
 A company committed to developing you personally and professionally.
 </li>
 <li>
 A great working atmosphere with regular company and team events.
 </li>
 <li>
 A vibrant and international team committed to diversity and inclusion.
 </li>
 <li>
 Responsibility from day one in a fast growing and global company.
 </li>
 <li>
 Other benefits include free food, health and dental insurance, and learning and development opportunities!
 
 
 </li>
 </ul>
 foodpanda is operated by Delivery Hero Group (&ldquo;DH Group&rdquo;) - the world&rsquo;s leading local delivery platform, operating in 70+ markets across Asia, Europe, Latin America, the Middle East, and Africa. Delivery Hero started as a food delivery service in 2011 and now employs 40,000+ people globally. Additionally, Delivery Hero is pioneering quick commerce, the next generation of e-commerce, aiming to bring groceries and household goods to customers in under one hour and often in 20 to 30 minutes. Headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017.
 
 
 In July 2024, Delivery Hero SE merged three of its market-leading food delivery businesses, foodora and Yemeksepeti in Europe, and foodpanda in Asia. All three businesses now make up the second-largest organization within the Delivery Hero Group, and leading food and QCommerce delivery in 16 markets in both regions.
</div>

Senior Data Analyst (Logistics Analytics)

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Senior Data Analyst - Germany team

Senior Data Analyst (Logistics Analytics)