Analyst – Analytics Team

Samsung ESBO Floor 3 Eighty Strand London WC2R 0RE

Samsung Electronics

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Position Summary

Why join our team?
ESBO (European Service Business Organisation) is responsible for identifying, evaluating and determining new opportunities within the digital media and advertising industry with the goal of creating scalable services and businesses on top of the global footprint of European Samsung Smart TVs. The EU advertising team is working to add new value for partners, advertisers, and agencies through its unique insights into TV viewership in the shifting media landscape!
We are looking for a confident individual with strong SQL, data-modelling, dashboarding skills, who understands the importance of communication, solutions and delivery. You should have a passion for solving problems, identifying solutions, leading projects, and working in cross-functional teams. If you love, being in the hot seat with the opportunity to be a hero, we’d love to meet you!
You will be working with the largest TV dataset in the world. In this role you will need to be skilled at understanding stakeholder needs, and then working with vast datasets to create simple and intuitive dashboards that translate complex problems into meaningful insights. You must develop and maintain excellent working relationships with key customers within the Samsung Ads business. CTV and/or digital insights-based advertising experience is preferred.
This role will report directly to the ESBO Senior Analytics Manager and is based in London.
If you are interested in joining a rapidly growing team working to build a unique, world-class advertising organisation with a steadfast focus delivering real results to customers, you've come to the right place.

Role and Responsibilities

Your key responsibilities

  • Build and maintain dashboards and their data pipelines to enable the business to self-serve data drive insights

  • Support integration and modelling of new data sources

  • Understand and optimise our existing queries and data pipelines where possible.

  • Deliver custom analytics support for pan-European clients across the ESBO regions

  • Translate business requirements into a meaningful set of SQL queries for Ad Hoc analysis and new reporting solutions

  • Innovation of new products - Collaborate with product teams to identify and prototype new data solutions, as well as improvements to our current offering

  • R our internal data and analytics solutions. Work with the relevant business to understand the requirements. Understand, create and maintain data pipelines, orchestration and monitoring across large data sets

  • Develop and maintain stakeholder relationships across A&I, senior leadership, Marketing, Product Marketing, P&E, and 3rd party vendors

  • Explore data to identify trends and anomalies, develop new analytical capabilities/solutions, and find new monetization opportunities

  • Collaborate to refine methodology and calculations

What we need for this role

To be successful, you will possess the following skills and attributes:

You will provide technical leadership to the wider A&I team specially in area of BI tools, guiding team members as you work together to deliver actionable insights and support the growth of the business.

You are organised, detailed oriented, flexible and possess ability to establish priorities with minimal guidance in a fast paced environment by being a proactive, analytical problem solver and strategist, who is able to draw conclusions- not just report the data.

Backgrounds and specialisms that could be suitable for this role include but are not limited to:

  • Data Analyst

  • Measurement

  • Business Analyst

  • Data Scientist

  • Strategist

  • Ad operations manager

Required skills

  • Demonstrable and significant experience using SQL full time

  • Experience in a role where dash-boarding capability was the primary output

  • Strong stakeholder management skills with extensive experience of working with senior colleagues

  • Be able to explain deeply complex problems in simplified terms that are instantly understandable

  • Experienced in setting up automated data pipelines

  • Experience working with large relational databases & cloud computing

  • Demonstrated expertise in connecting various sources of data (across digital media channels or platforms) to create a comprehensive view of integrated campaign performance

  • Experience with statistical analysis/tools

  • Familiarity with media, digital/mobile/TV measurement

  • Strong written and verbal communication skills

  • Experience with ad tech and digital media ops

  • A high degree of analytical expertise is crucial, along with the ability to communicate test results in basic terms for consumption of non-technical colleagues

  • Willing to work collaboratively with non-technical teams and learn new concepts

  • A degree or equivalent experience in computer science/engineering or quantitative field (Economics, Statistics, Engineering, Physics, Mathematics).

A plus

  • Experience working with the following tools would be strong advantageous: Python, Looker, Snowflake, Jira, Confluence, GitHub (or other agile development tools)

  • Familiarity with Digital Marketing

  • Experience and understand of the programmatic industry

  • Previous experience in an agency or company leading media analytics

What does success look like?

  • A love for data and statistics, for example exploring data for fun, finding patterns, creating norms for insights and measurement results. You are curious and take initiatives on finding new insights, new angles and looking at the data, deep diving into the meanings of analysis results.

  • Help to develop the dashboarding capacities for all types of data, mainly Samsung's 1st party viewership data.

  • You have a passion to test and learn in a fast paced environment, your curiosity is outstanding. You love communicating your new findings to the Analytics & Insights team, as well as to ESBO stakeholders.

  • Help build a data-informed culture – providing decisions makers with the information they need when they need it and in a way they can trust and act on.

  • Outstanding ability to prioritise short and long term work.

  • Excellent collaboration capabilities with strong interpersonal skills. We like to hire kind and helpful people at Samsung Ads, that’s what makes us such a great company to work for.

  • Help building and optimising queries to bring data to CSM, Sales and Marketing accurately and efficiently.

Skills and Qualifications

Benefits of working at Samsung as a Partner Colleague include

  • Hybrid working – 3 days in the office and 2 days at home per week

  • Bonus scheme linked to individual, team and company performance

  • Car allowance (delete if not appropriate)

  • Pension contribution

  • Three volunteering days each year

  • Holiday - 25 days plus bank holidays and an additional day off for your birthday

  • Access to discounts on a wide range of Samsung products

  • Access to a discount shopping portal

  • Partner Colleagues are not eligible for Samsung Enhanced Paid Sick Leave but may be eligible for statutory payments from their payroll agency

  • Up to 20 (pro-rata) Partner Absence days per calendar year to be used in times of need

A note on equal opportunities

We are an equal-opportunity employer and value diversity at our Company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Agile Computer Science Confluence Data pipelines Economics Engineering GitHub Jira Looker Mathematics Physics Pipelines Privacy Python R RDBMS Snowflake SQL Statistics

Perks/benefits: Flex hours Flex vacation Home office stipend Salary bonus Startup environment

Region: Europe
Country: United Kingdom

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