Principal Data Analyst

Principal Data Analyst

Who we are & what we do:

Gain Theory is a leading global marketing effectiveness and foresight consultancy. We combine quality data, proprietary technology, and advanced analytics to give our clients the confidence to make better informed investment decisions that drive growth.

Growth is the defining characteristic of successful organizations, and Gain Theory's vision is to accelerate growth for ambitious brands. We define ambitious brands as those that generate earnings/profits above the industry average. We deliver:

• Data strategy, harmonization, and visualization.

• Advanced analytics andmodeling, including MMM, attribution and unified measurement, testing, segmentation,behavioralsciences, choice analytics, simulation, war gaming, and forecasting.

• High-touch consultancy that includes bespoke roadmaps, training and education, industry benchmarking, and activation planning.

At Gain Theory, we love accelerating growth for ambitious brands and people. As a Gain Theorist, you will need todemonstratebehaviorsthat support our values.

Our values are: Be Curious, Be Positive, Act with Consideration, and Make it Better. You can read more about our values here: www.gaintheory.com/our-culture-people-and-value

Whatyou'lldo:

As aPrincipal Data Analyst, you will join the Gain Theory Data Practice and be embedded within one of our client-focused squads. Working closely with your manager,you'llcollaborate on some of the world's top brands, gaining hands-on experience with diverse data sources-including media, client-specific, Gain Theory proprietary, sales, and more.

In this role,you'llbe part of a team that processes and organizes data in preparation formodeling.You'llface exciting challenges and have opportunities to drive innovation and automation across workflows.

As aPrincipal Data Analyst,youwill apply data processing techniques such as SQL,ETLand Pythonalongside our internal automation tools, to manage, clean, and transform data through efficient pipelines.You'llalso run rigorous data quality assurance processes-ensuring data integrity, which is the foundation of all our work. Additionally,you'llcollaborate with the Data Manager to coordinate with client and agency partners,maintainingthe continuous flow of data from key sources. Beyond your squad,you'llengage with the wider Gain Theory data community, including the Data Centre of Excellence (DCOE), to share best practices and both provide and receive support.ThePrincipal Data Analyst will also mentor and support junior analysts on their projects, helping them learn processes, best practices, and specific tools used by Gain Theory.

At Gain Theory, our teams combinecutting-edgedata engineering, advanced analytics, unified measurement solutions, and enterprise-scale platforms to build products that will shape the next decade of faster, smarter, data-informed decision-making. We are committed to ensuring consumer privacy, safeguarding client confidentiality, driving brand growth, and delivering exceptional user experiences.

Key Responsibilities:

Data Management & Analysis:Manage data extraction,manipulationand validation.

• Manage data extraction, manipulation, validation, and interrogation using SQL, Python, and other relevant tools.

• Build data QA insights relevant to the project

• Ensure that all data is systematically checked and passes all QA steps

Data Architecture:Execute and update data pipelines

• Building andmaintainingdata ingestion and transformation pipelines using all the tools that Gain Theory has at your disposal

• Build data ingestion and transformation pipelines using available tools, including Python scripting for data processing and automation.

• Working with fellow data analysts to building scalable solutions using ETL/ELT pipelines

Research & Development:Support wider improvements in data

• Propose better approaches to help improve internal procedures including newmethodology, etc.

• Share techniques and ideas with the wider data community

Meetings:Organisation and participation in internal meetings

• Initiate and engage with internal project meetings, ensure there is an agenda

• Ensure that project meeting action points are collated and shared with the team

Mentorship:Help guide and supportjunior members of theteam

• Guide and supportjunior analysts, providing training on tools and best practices

Whatyou'dneed to succeed:

• Comfortable working withlarge amountsof data in a cloud ecosystem.

• Proficient with SQL and ETL processes, and experience driving robust QA processes.

• Experience with data interrogation, cleaning, and processing using Python.

• Snowflake experience a plus.

• Experience with data manipulation/visualization tools (e.g., Excel, Tableau).

• R experience a plus.

• Extreme attention to detaila must.

• Understanding or experience of business marketing and media a plus.

• Strong interpersonal and communication (written and oral) skills.

• Team-oriented attitude.

• Capacity to learn new skills and master new tools.

• Ability and desire to lead junior team members through mentorship and example setting.

• Can lead requirements gathering, project planning, and implementation of projects developed with DCOE leads

• Has project management skills including planning tasks and deliverables, managing timelines and risks, managing team resource allocation, and overseeing multiple simultaneous projects

• Ability to manage and motivate Gain Theory team members and to teach concepts or technologies that are developed

• Organized, detail-oriented, QA-focused

• Experience with DBT is highly valuable