Senior Business Intelligence Strategist

Há 4 dias

Hortolândia, São Paulo, Brasil beBeeData Tempo inteiro R$1.520.000 - R$1.760.000

We are seeking a Senior Lead Data Analyst to play a pivotal role in driving data-driven decision-making across our organization. This individual will leverage expertise in data analysis, visualization, and output interpretation to provide actionable insights that optimize workforce strategies, particularly related to Talent Management, Performance, and Employee Experience.

The Role
  1. Data Analysis and Interpretation: Conduct in-depth data analysis to identify trends, patterns, and insights that inform workforce strategies and business decisions.
  2. Stakeholder Engagement: Engage with HR, business leaders, and other stakeholders to understand their data needs and provide tailored analytical solutions that answer critical questions and drive business outcomes.
  3. Collaboration with Data Teams: Work closely with data engineers and data scientists to ensure data is clean, structured, and ready for analysis. Participate in designing scalable data pipelines and architectures to support analytical workflows.
  4. Insights and Data Delivery: Utilize data visualization tools (e.g., Tableau, Power BI) and design presentations using PowerPoint to deliver compelling visualizations that communicate basic to complex analytical insights to non-technical audiences.
  5. Advanced Insights: Surface hidden insights using statistical techniques (e.g., ANOVA, Regression) to uncover drivers of performance or why some groups are more engaged than others to drive business performance.
  6. Data Quality: Ensure data integrity, consistency, and accuracy across projects. Collaborate with data governance teams to align processes and maintain high data quality standards.
  7. Identify Opportunities: Monitor requests and find opportunities to automate frequent asks, streamline processes, and enhance efficiency.
Key Skills and Qualifications
  • Bachelor or master degree in Computer Science, Data Engineering, IT, or related areas.
  • Fluent English.
  • Strong experience in data analysis, visualization, and interpretation.
  • Proficiency with data visualization tools like Tableau or Power BI.
  • Strong proficiency with data management and analysis tools, such as SQL, Python, or R, Excel.
  • Experience designing compelling data stories on presentation tools, such as PowerPoint.
  • Formal training in quantitative fields.
  • Strong analytical and problem-solving skills.
  • Proven experience with simple to advanced analysis, such as descriptive statistics, ANOVA, and regression.
  • Excellent communication and collaboration skills.
  • Curious and self-starter.
  • Ability to work in a fast-paced environment.
About You

You're good at what you do and possess the required experience to prove it. With a growth mindset, keen to drive personal and professional development, customer-focused, and open and borderless, you naturally collaborate with others.

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