Title: Senior Data Analyst, Data Analytics
Location: Remote
Hours: 9 am - 5 pm EST - core hours
Duration: 9+ Months
 
Key Responsibilities:

• Collaborate with product managers and cross-functional teams to identify, define, and address business problems and opportunities through data analysis. Use your analytical skills to derive actionable insights from large and complex datasets.
• Monitor and track key performance indicators (KPIs) and objectives and key results (OKRs) across platform initiatives, providing regular updates and insights to key stakeholders and ensuring visibility into data-driven insights that support organizational goals.
• Work closely with product, engineering, and business teams to understand their data needs, provide analytical support, and communicate findings in a clear and concise manner to technical and non-technical audiences.
• Create clear and impactful data visualizations using tools such as Power BI, Looker, or similar, to communicate findings and recommendations to stakeholders across the organization.
• Proactively mine for data drive insights to support PSET's platform initiatives, focusing on performance, user engagement, and overall business impact.
• Develop and implement advanced data models and statistical analyses to forecast trends, predict outcomes, and optimize decision-making processes across platform initiatives.
• Ensure data accuracy, consistency, and integrity by following best practices in data collection, cleaning, and analysis, allowing for high-quality insights. Identify and resolve data discrepancies as needed.

Required Qualifications:

• 5+ years of experience in large data analysis, business intelligence, or a related field, preferably within a technology or SaaS environment.
• Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline.
• Strong skills in data querying and manipulation with SQL, and proficiency in programming languages like Python or R for data analysis and modeling. Experience with data warehouse ELT tools (Airflow, dbt, Snowflake).
• Experience with data visualization tools such as Looker, Power BI, or similar, with the ability to create clear, engaging, and impactful dashboards. Familiarity with AWS, Azure or similar cloud platforms.
• Proven analytical and problem-solving abilities, with the capability to work independently on complex datasets and derive actionable insights.
• Knowledge of statistical techniques and modeling methodologies to drive in-depth data insights and support predictive analytics.
• Strong ability to communicate complex data insights and recommendations to technical and non-technical stakeholders in a clear and accessible manner.
• Effective team player with a strong ability to work across functions, engage with diverse stakeholders, and provide data-driven support for strategic initiatives.

Preferred Qualifications:

• Prior experience working in a SaaS company or a platform engineering organization is preferred.
• Familiarity with client’s product portfolio and its applications in various industries is an advantage.
• Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline.

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 65.03/hr.