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Product Data Analyst
2 months ago
Product Data Analyst:
Customer’s Automation PMO team is looking for a curious and action-oriented analyst with a passion for using data to influence decision-making and deliver product insights. The ideal candidate is comfortable navigating complex problems, determining the right data to focus on and can derive insights and recommendations based on disparate data. This role interacts with stakeholders at all levels throughout the organization and helps inform product, compliance, and delivery strategy.
Role Requirements:
- Customer is looking for an outstanding, energetic, and curious Analyst who lives the customer team.
- They also have 4+ years of professional experience performing quantitative analysis, building dashboards and reports, and working with business partners to convert ambiguous, messy data into tangible and actionable results that influence product and business-impacting decisions in a fast-paced industry.
- Ability to think strategically and initiate, refine, and complete projects with minimal guidance in an often-ambiguous environment.
- Excellent verbal and written communication skills.
- Intermediate-level experience writing, developing, and performing QA in SQL and SQL-like relational data languages (4+ years regularly).
- Experience with unstructured data is a plus.
- Experience with modern data visualization tools. Tableau and Looker (LookML) is preferred.
- Demonstrated ability in building reports, metrics, dashboards, etc. for analytics projects that often require data preparation processes such as data extraction, cleansing, mapping, loading and operationalizing workflows in production.
- Experience in telephony, email, messaging, social media, or other electronic communications is a plus.
- Experience in fraud/abuse prevention, carrier/regulatory compliance, KYC, user vetting, traffic analysis and related investigations is a plus.
- Experience or familiarity with data warehousing and/or ETL processes, and distributed computing. technologies (Hive/Presto/Spark/Zeppelin) is a plus.
- Experience in Python (e.g. pandas, Numpy, sci-kit-learn) or R for data manipulation and analysis, including predictive analytics, regression, hypothesis testing, and causal analysis is a plus.
Responsibilities:
As a Data Analyst, you will be a thought partner within the Automation PMO team, providing actionable insights into strategic operations initiatives through the application of your expertise in quantitative analysis, technical systems, and leadership in analytics. Enable and scale up analytics programs within the organization. Example responsibilities include:
- Work with technical program managers to inject data into decision-making and planning to increase.
- Confidence in strategic business outcomes via defining OKRs, designing and building insight generating reports and dashboards and partnering cross-functionally to source and process product data.
- Leverage SQL programming skills and data visualization tools to communicate product insights and recommendations to stakeholders at all levels. Standardize, maintain, and document metrics, models, datasets, and dashboards leveraging tools such as Looker, Tableau, Confluence, Acryl, and code.
- Source, identify, and leverage data and insights for time-critical and strategic decision-making.
- Partner with leaders to successfully roll out and enable the adoption of dashboards and metrics.
- Work closely with product leadership to monitor and improve product performance while collaborating with business leaders to drive exceptional product offerings. Measure and analyze product value and value proposition through metrics.
- Collaborate with data producers and consumers during the product development lifecycle to ensure consistent data quality and availability for reporting post-launch.
- Own and foster stakeholder partnerships by acting as a trusted advisor.
Note : This is Hybrid Job
To apply :
