Senior Business Intelligence Specialist
2 weeks ago
This is a full-time, remote job opportunity for a Lead Data Analyst. They will be responsible for the analysis and interpretation of marketing and sales data to support business growth strategies.
Daily tasks include running models to perform market selection & design business impact tests, analyzing test result data using statistical models and methods, creating data visualizations and collaborating with other departments to support data-driven recommendations for clients.
The Lead Data Analyst will also be responsible for communicating findings and insights to stakeholders.
Responsibilities:- Work with other team members to actively deliver market test outputs for clients.
- Develop and implement statistical models to solve everyday market analytics challenges.
- Perform exploratory data analysis using spreadsheets or Excel to understand data.
- Interpret results from market tests and translate them into actionable recommendations.
- Use results of a test or analysis to arrive at attributed conversions & multipliers.
- Work with larger datasets, perform data manipulation & pre-processing.
- Collaborate with strategist teams to translate business questions and objectives into analytical frameworks.
- Work with stakeholders to gather the data required for building models.
- Conduct ad-hoc analyses to support client requirements.
- Bachelors in Statistics, Mathematics, Computer Science, Operations Research, Engineering, Economics.
- 3+ years of experience in data science or advanced analytics.
- Advanced knowledge of statistical concepts like hypothesis testing, regression & time series analysis.
- Proficiency in programming and query languages like Python, R and SQL.
- Understanding of marketing channels, metrics, and KPIs.
- Proficiency in data manipulation and preprocessing.
- Strong MS Excel, Google sheets skills.
- Strong problem-solving and analytical thinking abilities.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Ability to tell compelling stories with data.
- Experience using PowerPoint or Google slides to present findings.
- Experience with business intelligence tools.
- Experience with data visualization software.
- Knowledge of digital marketing strategies and tactics.
- Familiarity with marketing technology platforms and data sources.
- Knowledge of Advanced attribution concepts & market analytics.
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