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HangiKredi

<div>
 
 We are looking for a
 
 Business Intelligence Analyst
 
 at HangiKredi, which is Turkey's leading platform in the banking products comparison and application category since 2006, constantly renewing itself with its dynamic and financial assistant vision, visited by three out of every four people who conduct online loan research every year.
 
 
 
 
 
 
 QUALIFICATION
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Computer Science, Information Systems, or a related field
 </li>
 <li>
 4+ years of experience in BI, Data Analysis, or a similar role
 </li>
 <li>
 Proficiency in BI tools (e.g., Tableau, Power BI, Looker) and data visualization best practices Advanced SQL skills for complex queries, stored procedures, and performance tuning
 </li>
 <li>
 Advanced Qlik Sense experience (sheet creation, scripting, set analysis, extensions, etc.)
 </li>
 <li>
 Strong SQL knowledge (complex queries, joins, CTEs, subqueries, analytic functions)
 </li>
 <li>
 Data modeling experience
 </li>
 <li>
 Performance optimization of Qlik Sense dashboards
 </li>
 <li>
 </li>
 <li>
 Hands-on experience with Adjust and Google Analytics for data tracking and analysis
 </li>
 <li>
 Strong analytical and problem-solving abilities with a keen attention to detail
 </li>
 <li>
 Excellent communication skills for collaborating with cross-functional teams and presenting insights
 </li>
 <li>
 Ability to understand business processes and translate them into technical solutions
 </li>
 <li>
 Familiarity with data modeling concepts and relational database management systems (Preferred) Experience with Python or R, ETL tools, and cloud platforms (AWS, Azure, GCP)
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 JOB DESCRIPTION
 
 
 
 
 
 <ul>
 <li>
 Collaborate with business stakeholders to gather requirements, define objectives, and understand key performance metrics
 </li>
 <li>
 Develop interactive dashboards and reports using BI tools such as Power BI, Tableau, or Looker to support data-driven decision-making
 </li>
 <li>
 Write and optimize complex SQL queries to extract, manipulate, and validate data from multiple sources
 </li>
 <li>
 Leverage Adjust, Google Analytics, and other analytics platforms to track, measure, and optimize user engagement data
 </li>
 <li>
 Perform in-depth data analyses to identify trends, detect anomalies, and provide actionable insights
 </li>
 <li>
 Present findings and recommendations to both technical and non-technical audiences, ensuring clarity and impact
 </li>
 <li>
 Maintain data quality standards and contribute to data governance initiatives
 </li>
 <li>
 Continuously improve existing analytics processes and stay updated on emerging BI technologies
 </li>
 <li>
 Advanced Qlik Sense experience (sheet creation, scripting, set analysis, extensions, etc.)
 </li>
 <li>
 Strong SQL knowledge (complex queries, joins, CTEs, subqueries, analytic functions)
 </li>
 <li>
 Data modeling experience
 </li>
 <li>
 Performance optimization of Qlik Sense dashboards
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER?
 
 
 
 
 
 <ul>
 <li>
 Working in a young and dynamic environment with a collaborative agile culture
 </li>
 <li>
 Having the opportunity to work with cutting edge technologies and tools
 </li>
 <li>
 Being part of a data and customer centric culture
 </li>
 <li>
 Growing your career through frequent educational sessions and internal/external trainings,
 </li>
 <li>
 Benefiting from comprehensive pre boarding and onboarding programs for a rapid adaptation to the organization and quick start to your role
 </li>
 <li>
 Benefits such as lunch card , with or without remote working
 </li>
 <li>
 Complementary private medical insurance and accident insurance
 </li>
 <li>
 Gifts for special days, marriage, birth gifts
 </li>
 </ul>
 
 
 
 
 Your personal data will be processed in accordance with the law and as specified in the clarification text. You can access the lighting text from the
 
 
 
 
 
 
 https://www.hangikredi.com/aydinlatma-metni-ise-alim
 
 
</div>

Business Intelligence Analyst

Gunvor Group

<div>
 
 Job Title:
 
 
 
 BI Data Analyst
 
 
 
 Contract Type:
 
 
 
 Permanent
 
 
 
 
 Time Type:
 
 
 
 
 Full time
 
 
 
 Job Description:
 
 
 
 
 About Us
 
 
 
 Gunvor Group is one of the world&rsquo;s largest independent commodities trading houses by turnover, creating logistics solutions that safely and efficiently move physical energy from where it is sourced and stored to where it is demanded most. With strategic investments in industrial infrastructure&mdash;refineries, pipelines, storage, and terminals&mdash;Gunvor further generates sustainable value across the global supply chain for its customers. Gunvor, founded in 2000, generated US $50 billion in revenues on volumes of 191 million MT in 2020. Gunvor is the largest independent LNG trader in the world.
 
 
 Gunvor has more than 1,500 employees and it maintains offices in Geneva, Singapore, London, Istanbul, Shanghai, Amsterdam, Dubai, Houston, and Tallinn with new offices planned in strategically relevant markets.
 
 
 
 Scope of the role
 
 
 
 Reporting to the Global IT Project Manager, the BI Data Analyst is responsible for designing, delivering, and supporting enterprise-grade business intelligence and analytics solutions using Microsoft Power BI and the Power Platform.
 
 
 The role acts as a subject-matter expert (SME) for Power BI, enabling data-driven decision-making through high-quality dashboards, governed datasets, automation, and strong stakeholder engagement.
 
 
 
 Main Responsibilities
 
 
 
 <ul>
 <li>
 Strategic Collaboration &amp; Business Alignment
 </li>
 <li>
 Partner with business users, senior management, and IT stakeholders to understand analytical needs and translate them into actionable BI solutions.
 </li>
 <li>
 Gather, document, and validate business requirements; recommend analytical approaches aligned with business objectives.
 </li>
 <li>
 Translate complex business problems into technical designs that deliver clear insights and measurable business value.
 </li>
 <li>
 Proactively identify opportunities to improve data quality, reporting effectiveness, and decision-making processes.
 </li>
 <li>
 Innovation &amp; Product Development
 </li>
 <li>
 Design, develop, and maintain Power BI datasets, reports, and dashboards to meet evolving business requirements.
 </li>
 <li>
 Design and deliver end-to-end analytical and digital solutions using Power BI, Power Apps, Power Automate, and AI Builder.
 </li>
 <li>
 Build solution prototypes where needed to validate concepts and accelerate delivery.
 </li>
 <li>
 Work closely with the data architect and data engineering team to design and deliver analytics-ready datasets through data ingestion, cleansing, and transformation.
 </li>
 <li>
 Document analytical logic, data models, and datasets to support advanced analytics and future enhancements.
 </li>
 <li>
 BI Adoption &amp; Enablement
 </li>
 <li>
 Act as the go-to expert for Power BI and data analytics&ndash;related user queries.
 </li>
 <li>
 Conduct Power BI end-user training sessions and provide ongoing guidance and best-practice support.
 </li>
 <li>
 Promote effective BI usage patterns and self-service analytics across the organization.
 </li>
 <li>
 Operational Excellence
 </li>
 <li>
 Enforce BI governance standards and best practices to maintain data quality, consistency, and auditability.
 </li>
 <li>
 Monitor and optimize report performance and dataset refreshes to ensure stability and scalability.
 </li>
 <li>
 Maintain clear technical documentation, release artifacts, and operational procedures to support sustainable BI operations.
 
 
 
 </li>
 </ul>
 
 Profile
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field.
 </li>
 <li>
 Microsoft certifications in Power BI / Power Platform / Fabric are highly preferred.
 </li>
 <li>
 Strong expertise in Microsoft Power Platform, with Power BI as a core specialization (SME level).
 </li>
 <li>
 Excellent SQL skills and solid understanding of data modelling concepts.
 </li>
 <li>
 Good understanding of commodity trading knowledge is a bonus
 </li>
 <li>
 Strong analytical and problem solving skills with attention to detail.
 </li>
 <li>
 Strong stakeholder management skills; capable of exceeding stakeholder expectations.
 </li>
 <li>
 Self-motivated, proactive, and well-organized, with strong time-management skills.
 </li>
 <li>
 Comfortable working under pressure in a fast-paced environment.
 </li>
 <li>
 Team player with a collaborative mindset.
 </li>
 <li>
 English: Fluent (spoken and written). Any other language an asset.
 
 
 
 </li>
 </ul>
 If you think the open position you see is right for you, we encourage you to apply!
 
 
 
 
 Our people make all the difference in our success.
 
 
</div>

BI Data Analyst

<div><div><div><div><ul><li>REQ-10106963</li>
<li>19/12/2025</li>
<li>Data Analysis</li>
<li>Istanbul, Turkije</li>
<li><div>ING Hubs</div></li></ul><div> 
</div></div></div></div><div><div><div><div><div>About ING Hubs
Following ING&rsquo;s strategic ambition to deliver a superior eperience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated epertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 , , , ℎ ℎ , ℎ 11,000 ℎ , , - .
ING Hubs Turkiye core capabilities, , have us looking for data eperts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
 
ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an eisting framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
We value strong work ethics, knowledge sharing and fleibility in our way of working &ndash; it is both our promise to you and what we look for in new colleagues. Let&rsquo;s meet!
ING Analytics
ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Ecellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence etc.) as well as strong coordination areas around data management, technology, customer journey, U, as well as eternal partnerships.
You will be responsible for:
As a Data Analyst you will play a crucial delivery role in the data-driven culture supporting our products and services. You will be responsible for delivering valuable insights to improve client e<ul><li>perience by applying the latest Analytics interaction techniques in the domain of dialogue systems and natural language processing.</li>
Your day-to-day job will consist of the eploitation / analysis of conversational data. You bring insights into technical possibilities and client needs in order to contribute to the design and construction of automated solutions that ensure an optimal client e<li>perience.</li><li>
You have a good background or very strong interest in analytics and IT which allows you to improve customer and employee journey via state-of-the-art virtual assistant solutions.</li><li>
As a Data Analyst, you will be part of an Agile environment by being a member of a multidisciplinary team of 10 specialists. Your colleagues have a rich background in data management and analytics both in IT and/or business. There is also an immediate link with the global Customer Dialogue Analytics activities.</li></ul>
A day in the life of an Data Analyst
Even if you&rsquo;ll start your day from the comfort of your home or drink your morning coffee in our office&rsquo;s garden, your day will be quite similar when comes to tasks. Here are your daily responsibilities:
Identify, analyze, and interpret trends or patterns in comple data sets (both structured and unstructured te<ul><li>tual data) in collaboration with data scientists, in order to improve performance of our virtual assistants, based on Google DialogFlow</li><li>
Management of databases, data collection systems, data analytics and other strategies to optimize data quality. Analyze data and performance levels of our dialogue systems and proactively propose improvements</li><li>
Communicate these recommendations and provide data / analytical support to the stakeholders using both analytical and business jargon (written and oral)</li><li>
Work with the product owner to prioritize business and information needs, and accordingly implement them into an analytical approach</li>
Work closely together with a team of eperts organized in a self-steering team, e<li>ercising freedom in defining goals and deadlines for each element you deliver as a team</li></ul>
Qualifications:<ul><li>
Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree or PhD will be a plus),</li>
2-5 years of e<li>perience within data reporting &amp; statistics</li><li>
Strong knowledge of SQL</li>
An interest or e<li>perience in these tools: Python, Looker or Cognos</li>
E<li>perience of doing it with Google DialogFlow (nice to have)</li>
E<li>perience with Conversational AI and chat/callbot improvement of at least 1 year, in the area of discovery, creation, train and improvements of new intents</li>
Business knowledge/awareness of virtual assistants. E<li>perience in intent engineering/chatbot improvement is a strong plus</li><li>
Strong verbal and written communication skills in English and Turkish</li><li>
To take ownership on tasks assigned: you will be cultivating Analytics within the bank</li><li>
To be able to influence and convince not only peers but also the stakeholders based on analytical results</li><li>
To be capable to take decisions at tactical level and therefore build a trusted relationship with your squad members</li>
To be able to communicate and e<li>plain data driven methodology towards less analytics savvy colleagues</li>
To be analytical: etremely curious, constantly looking for an e<li>planation; analyzing sharply, concise &amp; to the point</li></ul>
What We Offer at ING Hubs Turkiye
At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your eperience is rewarding. Here&rsquo;s what you can epect when you join our organization:
Be Yourself, Be an ING'er<ul><li>
Welcome Leave:Enjoy 14 days of welcome leave, even in your first year! Don&rsquo;t postpone your dreams.</li><li>
Career Opportunities:We provide self-driven career paths where you can navigate your professional journey.</li><li>
Personal Growth:Engage in challenging work with endless opportunities to achieve your ambitions.</li><li>
Dynamic Environment:Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.</li><li>
Innovation Culture:Share your innovative ideas while eploring PACE methodology with us.</li><li>
Global Eposure:Participate in global projects and epand your career opportunities.</li><li>
Communication &amp; Celebrations:Enjoy various communication activities and celebrations that promote a friendly work environment.</li><li>
Health Care:Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.</li><li>
Private Pension Plan:Secure your future dreams with our private pension plan.</li></ul>
At ING Hubs Turkiye, your growth and happiness are our priorities. Join us and unlock your true potential in a fulfilling workplace!<div>
If you want to do your thing and eplore the life while working don&rsquo;t miss this opportunity!</div></div></div><div><ul><div> 
</div><div></div><div>
</div></ul></div></div><div><div><div><div><div>Your place of work</div>
<div><div>Eplore the area</div>
</div></div></div><div>Questions? Just ask 
ING Recruitment team<div> 
</div></div></div></div></div></div><div><div><div><div>Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behan iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.</div></div></div></div></div>

Data Analyst (GenAI)

OneIngage

<div>
 
 
 Job Description &amp; Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Develop and manage data strategies that support the business goals of the agency and its client brands,
 </li>
 <li>
 Ensure integration of data from multiple sources (digital media, CRM, campaign performance, social media, sales, etc.),
 </li>
 <li>
 Design and manage data visualization, reporting, and dashboard processes (e.g., Looker),
 </li>
 <li>
 Generate insights on campaign performance, customer behavior, and market trends,
 </li>
 <li>
 Collaborate with relevant teams (Account Management, Media Planning, Creative, Technology) to support data-driven decision-making,
 </li>
 <li>
 Ensure data security, accuracy, and accessibility,
 </li>
 <li>
 Lead and develop a team of data analysts and reporting specialists.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Statistics, Mathematics, Economics, or a related field,
 </li>
 <li>
 Minimum 5 years of experience in business intelligence/analytics, preferably within an agency or consultancy environment,
 </li>
 <li>
 Advanced proficiency in Looker or similar data visualization tools,
 </li>
 <li>
 Strong experience with SQL, Python, or R for data processing and analysis,
 </li>
 <li>
 Knowledge of big data sources and cloud-based solutions (Google Cloud, Google BigQuery),
 </li>
 <li>
 Strong strategic thinking, problem-solving, and analytical skills,
 </li>
 <li>
 Proven leadership in team management, project planning, and communication,
 </li>
 <li>
 Innovative, detail-oriented, and results-driven working approach.
 </li>
 </ul>
</div>

Business Intelligence (BI) Manager

ING Türkiye

<div>
 
 At ING we encourage you to `
 
 Do Your Thing
 
 ` to do more of what you love. We&rsquo;re on a journey that&rsquo;s centered around our customers, powered by technology and digital environment, driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We&rsquo;re proud of that!
 
 
 
 
 
 We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster! Interested?
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 If you think you have the following
 
 qualifications.
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in industrial engineering, computer engineering, MIS or other quantitative disciplines (Master&rsquo;s degree is a plus)
 </li>
 <li>
 +3 years of experience in data analytics, transformation, change execution, strategy or other relevant roles that require analytical capabilities
 </li>
 <li>
 Critical mindset to question the status-quo, curiosity to explore improvement areas, creativity and structured thinking ability to formulate insights into concrete action items
 </li>
 <li>
 Result-driven approach with a can-do mentality
 </li>
 <li>
 Skills in clearly communicating complex concepts &amp; ideas, and persuading relevant stakeholders at various levels of the organization
 </li>
 <li>
 Affinity and interest in tools and technologies for data analytics, business intelligence and data management (e.g. SQL, SAS, Cognos) is preferred
 </li>
 <li>
 Experience in Agile way of working is preferred
 </li>
 <li>
 Fluency in verbal and written English and Turkish
 </li>
 </ul>
 
 
 
 
 If you think you may take charge of the following
 
 responsibilities;
 
 
 
 
 
 <ul>
 <li>
 Run, coordinate, monitor and facilitate the implementation of strategically important transformation initiatives in data analytics domain
 </li>
 <li>
 Act as an internal consultant in the realm of data analytics with the objective of identifying and formulating improvement opportunities
 </li>
 <li>
 Oversee project roadmap of Data Management Group through running periodic progress update sessions, quarterly business review (QBR) cycles, data strategy formulation process, and budget planning activities in coordination with local and global stakeholders
 </li>
 <li>
 Support enhancement of data fluency capabilities across organization through delivering pilot use-cases, training programs, publications, and other informative contents
 </li>
 <li>
 Continuously monitor and synthesize emerging trends, perspectives and best practices in the field of data analytics, and spread the valuable insights across the organization
 </li>
 <li>
 Lead events and activities of ING Turkey's Data and Analytics Community by liaising with internal (local and global) and external stakeholders
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
</div>

Product Analytics Expert (Temporary Role)

Dream Games

<div>
 
 We are looking for a Data Analyst to work closely with our marketing team. You will play a crucial role in shaping our marketing strategies through data-driven insights. You will also collaborate with cross-functional teams to enhance user acquisition and improve the effectiveness of both performance and brand marketing campaigns.
 
 
 
 
 
 At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Developing and implementing marketing analytics frameworks to measure campaign effectiveness
 </li>
 <li>
 Working closely with the Performance and Brand Marketing teams and providing strategic insights based on data analysis
 </li>
 <li>
 Performing ad-hoc analyses to guide marketing decisions
 </li>
 <li>
 Examining marketing performance and user conversion data funnel to identify opportunities to improve ROI
 </li>
 <li>
 Working with external and internal data teams to enhance the attribution framework
 </li>
 <li>
 Analyzing TV advertising campaigns' effectiveness, assessing differences in performance across markets
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Experience using other data analysis and visualization tools, such as SQL, Python, R, Looker, or similar software, is a plus
 </li>
 <li>
 Excel expertise is required
 </li>
 <li>
 Strong analytical skills to make data-driven decisions
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 Passion and interest in games
 </li>
 <li>
 Understanding and appreciation of teamwork
 </li>
 </ul>
 
 
</div>

Data Analyst, Marketing

Midas

<div>
 🚀 This is where your impact begins &mdash; on millions. 🚀
 
 
 Midas is hiring new-grad outliers to build the future of money.
 
 
 More than 3.5 million people use Midas.
 
 
 Backed by $80M Series B, the largest fintech investment in Turkey, we are scaling faster than ever.
 
 
 #JointheOutliers #BuildTheFuture #MakeImpact
 
 
 At Midas Data teams, we turn data into actionable insights that solve real user problems.
 
 
 Data teams work cross-functionally to drive high-impact, data-informed decisions and create clarity out of complexity.
 
 
 Our data culture is built on high ownership and a desire to create impact.
 
 
 
 What You'll Ship
 
 
 
 <ul>
 <li>
 Transform complex data into actionable insights that guide product and business decisions
 </li>
 <li>
 Create intuitive dashboards and tools that empower teams
 </li>
 <li>
 Collaborate cross-functionally to define the metrics that drive measurable impact
 
 
 
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 Strong analytical mindset to uncover meaningful insights from complex data sets
 </li>
 <li>
 Radical ownership
 </li>
 <li>
 Enthusiasm to solve complex analytical problems
 
 
 
 
 
 </li>
 </ul>
 
 Keep in Mind
 
 
 
 <ul>
 <li>
 You need to be available to work onsite during summer (July-August). The number of onsite days may vary by team
 </li>
 <li>
 This is a full-time position for recent graduates or senior students from Computer Science, Computer Engineering, or related fields
 </li>
 <li>
 If you apply to multiple roles (Product, Data, or Engineering), we&rsquo;ll move forward with just one track. If at any point another role seems like a better fit, we can always revisit it together
 
 
 
 
 
 </li>
 </ul>
 
 Cultural Attributes
 
 
 
 <ul>
 <li>
 Takes full ownership &mdash; doesn&rsquo;t wait, just solves
 </li>
 <li>
 Questions assumptions and rebuilds from first principles
 </li>
 <li>
 Balances speed and quality &mdash; ships fast, but always clean
 </li>
 <li>
 Collaborates across teams; communicates clearly, with intention and precision
 
 
 
 
 
 </li>
 </ul>
 You will be fully equipped for success
 
 
 Great compensation for great talent
 
 
 Holistic support for health, well being and nutrition
 
 
 Tools to thrive &ndash; everything you need to perform at your best
 
 
 Your impact starts now.
 
 
 If you&rsquo;re curious, driven, and ready to build for millions &mdash; join us at Midas.
 
 
 Curious about our tech stack?
 
 
 Explore it here: https://stackshare.io/getmidas/midas-engineering
 
 
 Check out our blog for real life engineering challenges: https://engineering.getmidas.com/
 
 
 Follow Midas engineering X account: https://x.com/midas_eng
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

New Grad - Data

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