Senior BI Analyst transforming financial data into actionable insights through advanced analytics and data visualisation for Collinson in a hybrid London role.
Responsibilities
Design, develop and maintain interactive Tableau dashboards and reports for Finance and Senior Leadership stakeholders.
Ensure consistency, accuracy and alignment with financial KPIs and governance standards.
Evaluate emerging methods of insights delivery including Data Apps and
Analyse large, complex datasets to identify trends, variances and opportunities for cost optimisation and revenue growth.
Provide insights and act as a data storyteller guiding a wide range of stakeholders to actions.
Lead initiatives to automate manual reporting processes leveraging Tableau, SQL and ETL tools.
Drive standardisation of reporting frameworks and promote self-service analytics.
Support Data Science teams in exploring and implementing AI initiatives.
Partner with FP&A, Data and Commercial teams to translate business requirements into technical solutions.
Act as a subject matter expert for Tableau, BI and Data Storytelling within Finance
Provide coaching for 3+ Finance BI analysts.
Implement data governance controls, ensuring compliance with internal policies and external regulations.
Conduct regular data validation and performance tuning of BI solutions.
Requirements
Bachelor’s degree in a relevant field such as business/data analytics.
Minimum of 5 years of analytics experience, preferably supporting commercial or finance teams
Familiarity with financial statements (balance sheet/profit & loss) preferred
Proficiency in data interpretation with SQL, Python or similar.
Proficiency in Tableau Cloud features and capabilities.
Advanced Excel skills preferred (Modern Excel, Power Query and Power Pivot)
The following experience will be considered advantageous: AWS, Snowflake, Snaplogic, dbt
Strong analytical and problem-solving abilities with excellent attention to detail.
Ability to work independently and collaboratively on multiple projects simultaneously under time sensitive conditions.
Excellent written and oral communication skills, including the ability to present complex data insights to diverse audiences and refining messages to ensure understanding.
Ability to prepare and organize data, information, and recommendations in a concise way to various audiences including senior executives/board members.
Familiarity with process improvement methodologies and automation tools is a plus.
Have a passion for experimentation, using data and insights to derive hypothesis to test and learn, unlocking learnings and growth.
Commercially creative in turning ideas into business cases.
Effective communicator across different lines of business functions.
Able to build strong relationships across the organizational structure.
Self-starter, able to work with minimal supervision and oversight, able to overcome challenges independently.
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