Senior Data Analyst
Anyline
- Berlin, New Hampshire, United States
- Berlin, New Hampshire, United States
Über
This is your opportunity to combine deep analytical work with real business impact—building scalable data products, influencing company-wide strategy, and helping Parloa operate with greater precision and speed.
Areas of ownership:
End-to-End Analytics: Own analytics projects from problem definition and hypothesis building to data modeling, insight generation, and executive communication.
Performance & KPI Frameworks: Partner with cross-functional leaders to define KPIs, reporting structures, and metrics that drive accountability and focus.
Data Products & Reporting: Design and maintain scalable dashboards and reporting solutions that provide clear visibility into company performance.
Advanced Analytics & Modeling: Build forecasting and predictive models to support planning, resource allocation, and strategic decision-making.
Business Insights & Optimization: Conduct deep-dive analyses to uncover growth opportunities, operational inefficiencies, and product usage patterns.
Data Foundation & Quality: Collaborate with data and analytics engineering teams to improve data models, ensure data quality, and scale reliable reporting.
Who you are:
5+ years of experience in data analytics, business analytics, or strategy analytics, ideally in a high-growth tech, consulting, or finance environment
Strong SQL skills; experience in Python or R for advanced analytics is a plus
Solid understanding of statistical methods and machine learning techniques (e.g. regression, classification, forecasting)
Experience building dashboards and reporting frameworks using tools like Tableau, Looker, or similar
Strong understanding of financial data structures and FP&A processes, as well as commercial and operational metrics
Experience supporting FP&A workflows (e.g., budgeting, forecasting, revenue and KPI tracking) by transforming financial data into well-structured reporting layers aligned with accounting logic and business needs.
Proven ability to design metrics and translate business questions into structured analytical approaches
Confidence in communicating insights to senior stakeholders, including executives
Structured, hypothesis-driven mindset with a pragmatic and hands‑on approach
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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