ppAt Digital Pills, our mission is to empower businesses with the strategic use of data.We are evolving from a classic consulting model into an AI Data company: we use our client projects as incubators of proprietary accelerators and products, building scalable technology on top of years of hands‑on experience. Joining now means being part of this transition. /p pOur clients range from big corporations to elite B2C and B2B players. We also collaborate with foundations and non-profit organisations. /p pWhile growing quickly, we’re still a small company with a startup-like culture which offers maximum personal freedom and flexibility along with the ability to be agile. /p pOur Company Values are: /p ul liVertical Boutique: To compete with established players, vertical specialization is the essential ingredient. For us, this specialization is focused on data, which forms the core of our approach. /li liResearch and Development (RD) and Training: We invest 20% of our time in individual training and Research and Development projects. This keeps us constantly updated on the latest trends and technologies, ensuring cutting‑edge service for our clients. /li liPeople at the Center: We create a unique and motivating work environment to attract the best talents in the industry. Our corporate culture is geared toward maintaining high levels of quality in every aspect of our work. /li liSocial Impact on the Community: We are committed to making a positive contribution to the community. We donate 1% of our annual revenue to Pro‑bono initiatives, and every member of our team dedicates 40 hours per year to non‑profit projects. With our social commitment, we aim to make a difference in people’s lives and create a better world. /li /ul pJoining our team means embracing these values and contributing to our mission of providing data‑driven solutions that transform businesses. /p pAt Digital Pills, we design advanced analytics platforms and data-driven solutions that transform how organizations understand and use data. /p h3Mission - executive summary of the job’s core purpose: /h3 pAs a Tracking Specialist, you will work in the Tech Team focusing on Tracking implementation activities, Business Intelligence and digital analytics. You will contribute to the design of data collection systems, KPI definitions and dashboards, and to the implementation and validation of tracking systems used to collect high‑quality data.



/p pThis role is ideal for experienced tracking professionals who want to grow at the intersection of MarTech, business intelligence and digital analytics, working on real‑world data platforms and complex scenarios and contributing to a delivery model built on replicable templates and reusable accelerators. /p pAs a Tracking Specialist, the results we expect you to contribute are as follows: /p h3Core responsibilities /h3 ul liDesign and implement data collection systems both for App and Web environments with platforms such as (but not limited to) Google Tag Manager (GTM), Google Analytics 4, Piwik, Amplitude, Adjust /li liSet-up Customer Data Platforms such as (but not limited to) Twilio Segment and Bloomreach /li liImplement server side tracking architecture /li liImplement Conversion API and Enhanced Conversions across multiple advertising platforms such as Google Ads, Meta, TikTok /li liAudit and fix MarTech issues such as attribution inconsistencies and poor data quality. /li liCollaborate with consultants and analysts to translate business requirements into analytics solutions /li liDeliver client work in a replicable way: use and improve existing templates and checklists, and flag recurring patterns worth turning into reusable accelerators /li /ul h3Growth areas (with increasing autonomy over time) /h3 ul liHandle and analyze raw data export from marketing platforms (e.g. Google Analytics raw data). /li liCreate DBT, Dataform models over marketing data /li liImplement Reverse ETL pipelines for data enrichment over cloud enviroments /li liSupport the definition and validation of business metrics /li liDesign and validate semantic data models and KPI layers /li liBuild and maintain dashboards and reports using Power BI and other BI tools (e.g. Data Studio) /li liValidate data consistency and correctness across reporting layers /li /ul h3Education Experience /h3 ul li4+ years of hands‑on experience in tracking implementation,



digital analytics or MarTech roles /li liTrack record of tracking setups delivered and validated in real client or company contexts /li liExperience in consulting / agency environments is a plus /li libSQL and Data Foundations /b : Basic/Intermediate knowledge of SQL and data modeling. /li libWeb and App Tracking: /bExperience with Google Tag Manager, Google Analytics 4, Adjust /li libBusiness Intelligence /b : Familiarity with BI concepts, reporting practices and dashboarding tools such as Power BI and Google Data Studio or equivalent. /li libData Quality Validation /b : Ability to validate data correctness, detect inconsistencies and reason about metric definitions and data reliability. /li liAnalytical mindset. Able to reason logically on data, metrics and business questions. /li liBusiness Understanding: Interest in understanding business processes and translating business requirements into analytics solutions. /li liAttention to detail. Does not let important details slip through the cracks or derail a project. /li liCuriosity and learning attitude. Strong willingness to learn new tools, technologies and analytics practices. /li liIntelligence. Learns quickly. Demonstrates ability to quickly and proficiently understand and absorb new information. /li liAutonomy. Able to manage well‑defined tasks independently and take ownership of assigned activities. /li liCommunication. Able to clearly explain data, metrics and results to technical and non‑technical stakeholders. /li liTeamwork. Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship. /li liEnthusiasm. Exhibits passion and excitement over work. Has a can‑do attitude. /li liCloud environments: hands‑on experience with Google Cloud Platform (GCP), especially the BigQuery module. /li liData Modeling Fundamentals: Understanding of basic dimensional modeling concepts (facts, dimensions, star schema) and interest in building semantic layers for analytics. /li liOther marketing and product analytics platforms: Posthog, Mixpanel, Matomo, Adobe /li liOther data activation platforms: Klaviyo, SalesManago, Treasure Data, Braze /li /ul h3What we offer /h3 ul liSalary: RAL €35k - €42k (based on experience) /li liContinuous training and development: dedicated days for individual training, RD community of practice syncs /li liFlexible workplace (8 days / month in‑office presence is required) /li /ul /p #J-18808-Ljbffr

📌 Tracking Specialist (Torino)
🏢 Digital Pills
📍 Torino