Analitik za upravljanje podatkov (m/ž)

Summary
LI-Hybrid

Location: Mengeš, Slovenia / Lokacija: Mengeš, Slovenia

Internal job title: Specialist za podatkovno znanost in UI (m/d/f) / Specialist Data Science & AI (m/d/f)

The Specialist Data Science & AI (m/d/f) will drive the adoption of Agentic and AI capabilities across site and global TechOps processes by building AI fluency, delivering scalable no‑code/low‑code solutions, and embedding AI‑enabled ways of working that generate measurable productivity and efficiency gains.

Kot Specialist za podatkovno znanost in UI (m/d/f) boste spodbujali uvedbo naprednih Agentic in AI zmogljivosti na lokaciji ter v globalnih procesih TechOps, z razvijanjem AI pismenosti, uvajanjem razširljivih rešitev brez ali z minimalnim programiranjem (no code/low code) ter vključevanjem načinov dela, podprtih z umetno inteligenco, ki prinašajo merljive izboljšave produktivnosti in učinkovitosti.

About The Role
Ključne odgovornosti

• Spodbujanje celostne uvedbe Agentic in AI zmogljivosti v lokalnih in globalnih procesih ter vključevanje načinov dela, podprtih z AI, v vsakodnevno poslovanje z namenom doseganja merljivih izboljšav produktivnosti.
• Razvijanje AI pismenosti v IT/OT in poslovnih ekipah, vzpostavljanje in vodenje skupnosti Agentic/AI ambasadorjev ter omogočanje praktičnega razvoja rešitev brez ali z minimalnim programiranjem.
• Vodenje identifikacije uporabnih primerov na osnovi pobud od spodaj navzgor, določanje prioritet skupaj z vodstvom lokacije ter nadzor nad implementacijo, razširjanjem in trajnostno uporabo rešitev Agentic in AI.
• Spodbujanje uporabe globalno razpoložljivih platform Agentic in AI ter nenehno posredovanje lokalnih zahtev, vrzeli in priložnosti za izboljšave v globalne produktne načrte.
• Vzpostavljanje jasnega upravljanja, spremljanje koristi in poročanje (vključno z vplivom na produktivnost in FTE) ter vzdrževanje večletnega načrta razvoja Agentic in AI.
• Sodelovanje z globalnimi ekipami DDIT Ops in DSAI za zagotavljanje pripravljenosti podatkov, platform, integracij in varnosti ter omogočanje samostojne uporabe podatkov (data self-service) na lokacijah.
• Vodenje upravljanja sprememb in kulturne preobrazbe, da zaposleni sprejmejo AI kot orodje za nadgradnjo dela in aktivno uporabljajo Agentic in AI rešitve pri vsakodnevnem delu.

Osnovne zahteve

• Najmanj 1 leti izkušenj na področju podatkovne znanosti in umetne inteligence ter močan interes (in radovednost) za razvoj AI rešitev.
• Praktične izkušnje z AI asistentom za podjetja, po možnosti Microsoft Copilot (M365 Copilot, Copilot Studio).
• Močno zanimanje za avtomatizacijo in robotiko.
• Dokazana sposobnost razvoja agentnih rešitev z uporabo no‑code/low‑code platform (npr. Power Platform, Copilot Studio), vključno z oblikovanjem promptov, delovnih tokov in osnovnih integracij.
• Praktično razumevanje orkestracije agentov, ponovljivih vzorcev in uvajanja rešitev v operativna okolja.
• Osnovno znanje podatkovne znanosti in analitike, vključno z definiranjem KPI-jev, opisno analizo, poznavanjem SQL in interpretacijo AI rezultatov.
• Odlične komunikacijske veščine, proaktiven pristop ter močna radovednost; sposobnost poglobljenega razumevanja poslovnih potreb in njihove pretvorbe v AI rešitve.

Zaželene izkušnje

• Poznavanje farmacevtskih procesov in industrije.
• Izkušnje s temelji upravljanja podatkov: sposobnost uporabe, združevanja in interpretacije podatkov iz poslovnih sistemov (npr. MES, ERP, LIMS) ter osnovno razumevanje kakovosti podatkov, dostopa in upravljanja podatkov.
• Izkušnje s programiranjem v Pythonu.
• Praktične izkušnje z avtomatizacijo in robotiko.

Ponujamo zaposlitev za določen čas 2 leti, s 6 mesečno poskusno dobo. Prijavo oddajte skupaj z življenjepisom v slovenščini in angleščini.

To delovno mesto se nahaja v Mengeš. Novartis za to vlogo ne nudi podpore pri relokaciji, zato se prijavite le, če vam je ta lokacija dostopna.

Ugodnosti in nagrajevanje
V podjetju Novartis smo zavezani k skupnemu preoblikovanju medicine – in nagrajevanju ljudi, ki to omogočajo.

Predviden letni osnovni bruto plačni razpon za to delovno mesto: 30.400 € do 45.600 €
Ponujena osnovna plača je določena na podlagi spolno nevtralnih meril, kot so ustrezna znanja, kompetence in izkušnje, v skladu s politiko določanja plač družbe Novartis. Po zaposlitvi v Novartisu se plača redno pregleduje.

Poleg osnovne plače ste lahko upravičeni tudi do bonusa na podlagi uspešnosti, odvisno od izpolnjevanja določenih kazalnikov uspešnosti.

Prednosti članstva v naši ekipi segajo daleč preko osnovne plače in spodbud. Ponujamo tudi vrsto konkurenčnih ugodnosti, ki podpirajo vaše osebno in poklicno dobro počutje, kot so zavarovalni načrti, pokojninski programi, viri za dobro počutje ter globalni programi priznanj.

Poleg tega, kjer je to mogoče, omogočamo prilagodljive in hibridne oblike dela ter najmanj 14 tednov plačanega starševskega dopusta.

Predani smo raznolikosti in vključenosti:
Novartis si prizadeva ustvariti izjemno, vključujoče delovno okolje in oblikovanje raznolikih timov, saj ti predstavljajo naše bolnike in skupnosti, ki jih oskrbujemo.

Zakaj Novartis:
Pomagati bolnikom in njihovim družinam zahteva več kot le inovativno znanost. Potrebna je skupnost zavzetih ljudi, kot ste vi. V Novartisu cenimo sodelovanje, podporo in navdihovanje drug drugega za razvoj prebojnih terapij, ki spreminjajo življenja pacientov. Ste pripravljeni ustvariti svetlejšo prihodnost skupaj z nami? https://www.novartis.com/about/strategy/people\-and\-cultureopment opportunities

Key Responsibilities

• Drive end to end adoption of Agentic & AI capabilities across site and global Processes, embedding AI enabled ways of working into daily operations to deliver measurable productivity gains.
• Build AI fluency across IT/OT and business teams, establish and lead Agentic/AI champions, and enable hands on development of no code / low code agentic solutions.
• Lead bottom up use case identification, prioritize high value opportunities with site leadership, and oversee delivery, scaling, and sustained adoption of Agentic & AI solutions.
• Drive adoption of globally available Agentic & AI platforms, while continuously feeding site requirements, gaps, and enhancement opportunities into global product backlogs.
• Establish clear governance, benefits tracking, and reporting, including productivity and FTE impact, and maintain a forward looking multi year Agentic & AI roadmap.
• Partner with Global DDIT Ops and DSAI teams to ensure data, platform, integration, and security readiness, and to enable data self service capabilities for sites.
• Lead change management and cultural adoption, ensuring employees embrace AI as an augmentation tool and actively use Agentic & AI solutions in their daily work.

Essential Requirements

• 1+ years experience in Data Science and AI, with strong interest and curiosity in AI development
• Hands on experience with enterprise AI assistant, preferably Microsoft Copilot (M365 Copilot, Copilot Studio).
• Strong interest in automation and robotics.
• Proven ability to build agentic solutions using no code / low code platforms (e.g. Power Platform, Copilot Studio), including prompts, workflows, and basic integrations.
• Practical understanding of agent orchestration, reusable patterns, and scaling agents in operational environments.
• Basic data science & analytics skills, including KPI definition, descriptive analysis, SQL knowledge, and interpretation of AI outputs.
• Excellent communication skills, can do attitude and strong curios approach, ability to dive deep and understand business needs and translate them into AI solutions

Desirable Requirements

• Knowledge of the pharmaceutical process and industry is highly desirable
• Experience with data fundamentals: ability to consume, combine, and interpret data from enterprise systems (e.g. MES, ERP, LIMS); basic understanding of data quality, access, and governance.
• Python programming experience.
• Hands on experience with automation and robotics.

Please note
this is a 2 years fixed term contract with 6 months probation period
. Submit your application with the CV in Slovenian and English language.

This role is based in Mengeš. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.

Benefits & Rewards
At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

Expected Annual Base Salary Range for role: € 30,400 to € 45,600
The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.

Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Why Novartis:
Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people\-and\-culture

Benefits and Rewards:
Learn about all the ways we’ll help you thrive personally and professionally.

Read our handbook (PDF 30 MB)

The Team The Growth team is focused on maximising the potential of all titles Outfit7 ships. It brings together user acquisition, creative strategy, ASO, data, and product collaboration under one roof, with full-funnel accountability for the games in its portfolio. We operate across all lifecycle stages, from R&D and prototype validation through to global scale, across a range of mobile game formats. As our Distribution Analytics Lead, you'll build and develop a high-impact team that turns complex marketing and distribution data into smarter, faster decisions. From supporting a paid user acquisition strategy to incrementality testing, you'll define how Outfit7 measures, learns, and scales across every distribution channel, and you'll grow the people who make it happen.

In this role you will

• Build, lead, and grow a team of analysts and data scientists supporting Marketing, Growth, and Distribution.
• Set the Distribution Analytics roadmap and priorities, focusing the team on work with the highest impact on profit growth and channel performance.
• Partner closely with Product and leadership to translate business goals into analytical initiatives, and influence strategic decisions with data.
• Own and continuously improve measurement frameworks for paid user acquisition, including LTV, ROAS, predictive payback, and bidding inputs.
• Drive the adoption of advanced measurement methods such as incrementality testing, geo experiments, and Marketing Mix Modeling.
• Champion organic growth analytics, including measurement of store performance and the interplay between paid and organic.
• Establish experimentation standards across A/B and quasi-experimental designs, statistical guardrails, and clear decision frameworks.
• Set technical standards for the team, including clean and scalable data pipelines, reproducible analyses, and well documented internal tools.
• Represent Distribution Analytics in cross-functional forums, communicate findings to senior leadership, and challenge outdated practices.
• Stay close to industry trends in mobile gaming, performance marketing, and measurement, and bring relevant best practices into the team.

What we’re looking for

• Leadership skills: you've hired, developed, and retained talent in data analytics.
• Strong strategic thinking with the ability to connect analytical work to commercial outcomes and prioritize accordingly.
• Strong SQL skills and advanced proficiency in Python or R for statistical analysis, modeling and visualization.
• Deep understanding of mobile app economics, LTV and ROAS modeling, attribution, and channel performance measurement.
• Hands-on in designing and running incrementality tests, geo experiments, and/or MMM.
• Proven ability to structure ambiguous problems, run thorough analyses, and turn results into clear, actionable recommendations.
• Excellent stakeholder management, you partner with non-technical leaders in Marketing and Growth
• Excellent communication and presentation skills, fluent in English (written and spoken).
• Excellent attention to detail and a continuous improvement mindset.
• A positive, proactive, lead-by-example attitude.

Your experience

• 7+ years of experience in analytics or data science roles, with at least 2 years leading a team (hiring, coaching, and developing analysts or data scientists)
• Track record supporting Distribution: Paid User Acquisition, Performance Marketing, or Growth teams, ideally in mobile games or a comparable consumer app or digital business.
• Experience with modern data stack tools, such as DBT and cloud data warehouses (e.g., BigQuery, Snowflake), and BI tools.
• Experience with ASO analytics and the interaction between paid and organic growth is a strong plus.

What we offer

• Employment relationship with Ekipa2 d.o.o. for an indefinite period of time, with a six-month probationary period.
• Diverse work with exciting daily challenges, working as part of a team in a fun, relaxed environment.
• Participation in attractive projects.
• Development opportunities through training, seminars, and conferences.
• Choice of sport, fitness, educational, and entertainment activities outside of work.
• Healthy meals in the office.
• Flexible working hours.
• 24 days of paid vacation.
• Participation in a discretionary bonus plan.
• Christmas bonus (subject to internal company policies).

Compensation

Initial salary for the position will be shared prior to the first interview.

Povzetek delovnega mesta:

Senior Lead Marketing Data Scientist / Marketinški podatkovni analitik IV., vodja ekipe

Zahtevane so izkušnje iz področja podatkovne znanosti, idealno v performance marketingu, mobilnih igrah ali sorodnih področjih. Sklenitev delovnega razmerja nudimo za nedoločen delovni čas s šestmesečnim poskusnim delom v podjetju Ekipa2 d.o.o., s sedežem v Ljubljani. Rok za prijavo: 30.8.2026.

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description

Driving profitable growth through commercial intelligence, structural rigor & strategic steering

ABOUT US

As the market leader in sports technology, Sportradar (NASDAQ: SRAD) is positioned at the center of the sports ecosystem. Our broader Financial Planning & Analysis organization plays a critical role in delivering extraordinary growth; we’re targeting a 15% CAGR for revenue while consistently expanding margin and cash conversion. In an industry where AI is redefining fan engagement, our finance leaders must be as sophisticated as our technology: combining financial discipline with commercial acumen and advanced analytics to unlock opportunities across a market growing at double-digit percent annually.

THE CHALLANGE

Reporting to the VP of Revenue Performance & Planning, you are the primary performance auditor of commercial outcomes. You don't just report numbers; you interrogate them and recommend the way forward to maximize value. Your mission is to identify the "why" behind performance trends that you package to a compelling story to drive a business decision. You provide the critical challenge required for driving revenue and margin, guiding business counterparts through a transformative planning process that prioritizes drivers over pure outcomes.

• Proactive revenue performance analysis: move past outcomes to identify the specific revenue drivers (e.g., usage, churn, pricing, market) that management must focus on.
• Revenue forecast pressure-testing: Interrogate the inputs that feed our global P&L to ensure every forecast is achievable and rooted in actionable drivers.
• Logic refinement: Identify and dismantle broken assumptions in commercial plans and rebuild them into actionable, robust frameworks.
• Causal synthesis: Translate complex technical and commercial data into clear, authoritative narratives for senior stakeholders.

Key responsibilities

• Driver autopsy: Conduct deep-dives into revenue beats or misses to distinguish between one-time windfalls and core structural trends.
• Planning guidance: Lead commercial counterparts through the forecasting and budgeting process to ensure submissions are robust and logically sound.
• Business modeling: Create elegant solutions for complex business topics like pricing elasticity and market entry costs.
• Build automated revenue reporting using advanced analytical and reporting tools on top of data warehouse and billing data sets to steer commercial decision making

ABOUT YOU

You ask smart questions and refuse to accept surface-level explanations. You enable business success by providing the "so-what" that others miss. You are a "fixer" who enjoys the challenge of untangling messy data problems to find a clear path forward.

What we're looking for

• Experience

: 5-8 years in a multidisciplinary finance, analytics, and/or consulting role.

• Archetype

: We seek high proficiency in either commercial finance or commercial analytics.

• Education

: MBA or relevant master’s degree preferred.

• Technical requirement

: SQL, Power BI / Tableau, and AI agents knowledge is essential. Experience with Python or n8n/workflow automation is highly valued.

• Mindset

: An "accountability" mindset - you value the strength of a plan over the speed of its delivery.

Additional Information

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

Smo Tasty Dose ena najhitreje rastočih e-commerce zgodb v regiji. In to je šele začetek! 🚀

Razvijamo okusne funkcionalne napitke, ki izboljšujejo počutje in performance. Razviti v Sloveniji, uporabljeni vsak dan po celi Evropi.

Najbolj smo poznani po Coffee 2.0, ki smo jo ljudem postregli že v več kot 10.000.000 skodelicah.

Prisotni smo v 8 EU državah, najdeš pa nas tudi na policah DM Slovenija in Tuš drogerij.

Iščemo nekoga, ki ne išče samo službe, ampak želi biti del hitro rastoče zgodbe, ki premika meje mogočega.

Če si tip človeka, ki stvari ne samo naredi, ampak jih naredi bolje kot večina, beri naprej.

Več o nas:
Tasty Dose

Tvoj naziv:
Data Analyst (E-commerce)

Kot Data Analyst boš povezoval podatke iz različnih virov ter jih pretvarjal v uporabne vpoglede, ki bodo pomagali pri rasti spletne prodaje, optimizaciji marketinga in sprejemanju strateških odločitev.

Tvoje glavne naloge:

-
zbiranje, povezovanje in upravljanje podatkov iz spletne trgovine, marketinških platform, CRM-ja, analitičnih orodij ter drugih virov,

- skrb za kakovost, točnost in konsistentnost podatkov ter sodelovanje pri razvoju podatkovne in BI infrastrukture,

- priprava analiz, dashboardov in rednih poročil za spremljanje poslovanja,

- analiza ključnih e-commerce metrik, kot so
LTV, CAC, retention, konverzije in profitabilnost
,

- analiza uspešnosti marketinških kampanj, prodaje, produktov in posameznih trgov,izvajanje ad-hoc analiz za vodstvo in različne ekipe,

- prepoznavanje trendov, vzorcev in priložnosti za izboljšave,

- razvoj in izboljševanje BI sistemov, analitičnih procesov in avtomatizacij,

- pretvarjanje podatkov v konkretne poslovne predloge ter sodelovanje z vodstvom, marketingom, product in drugimi ekipami pri sprejemanju odločitev.

Tehnično okolje, v katerem boš delal:

Shopify, BigQuery + SQL, dbt, GA4, Cloud Run, Apps Script, Looker Studio, Google Sheets.

Kaj pričakujemo?

-
izkušnje na področju podatkovne analitike, BI ali podobnega področja,

- dobro razumevanje e-commerce in marketinških metrik,

- analitično razmišljanje in sposobnost kompleksne podatke pretvoriti v jasne poslovne vpoglede,

- razumevanje podatkovnih struktur in dela z različnimi viri podatkov,

- samostojnost, natančnost in sistematičnost,

- sposobnost učinkovitega sodelovanja z različnimi ekipami,

- zelo dobro znanje angleškega jezika.

Prednost predstavljajo izkušnje z e-commerce podjetji, BI sistemi, podatkovnimi bazami, API integracijami ali avtomatizacijo podatkovnih procesov.

Kaj ponujamo?

-
pomembno in vplivno vlogo v hitro rastočem e-commerce podjetju,

- delo s podatki, ki neposredno vplivajo na poslovne odločitve in rast,

- možnost razvoja podatkovne in BI infrastrukture,

- veliko prostora za samostojnost in prevzemanje odgovornosti,

- sodelovanje z ambiciozno in mednarodno ekipo,

- delo na več evropskih trgih,

- možnost osebnega in kariernega razvoja,

- konkurenčno plačilo glede na izkušnje in znanje.

Če te motivira delo s podatki in želiš svoje analitično znanje uporabiti v okolju, kjer imajo tvoji vpogledi neposreden vpliv na poslovanje, te vabimo k prijavi.

⬇️ Izpolni vprašalnik in se nam pridruži. ⬇️