• Support analysis of commercial and media data • Design and maintain dashboards and reports in Power BI, Data Studio / Looker Studio • Organize and structure semi-automated data bases (BigQuery, Looker, Power BI, or Google Sheets) • Perform comparative analyses across time periods, identifying patterns and opportunities • Validate hypotheses using data and generate actionable insights • Support the preparation of analytical presentations in PPT • Work with media, performance and business teams on data interpretation • Ensure organization, quality and reliability of information • Meet deadlines and manage priorities in a remote work environment

Role Description As a Lead BI Analyst (19011), you’ll be a key driver of our analytics foundation. You will transform raw event streams and operational datasets into reliable, actionable insights that shape company strategy. You’ll own complex SQL pipelines, design KPI frameworks, and deliver dashboards used daily by leadership. Beyond technical skills, you’ll help structure how the BI function scales — codifying best practices, mentoring analysts, and collaborating cross-functionally. Responsibilities and Duties - Build and maintain layered analytical models across device lifecycle, app usage, and monetization (RPH, ARPU, eCPM, fill-rate, retention). - Reconcile data from multiple operational, product, and revenue systems; surface and track discrepancies. - Create entity-centric models for health, attribution, and longitudinal behavior. - Analyze auction funnels end-to-end (requests → bids → wins → impressions → revenue) and diagnose drop-offs. - Monitor core KPIs with anomaly detection and investigation playbooks to accelerate root-cause analysis. - Develop cohorting, time-series, and survival analyses for growth, churn, and LTV. - Implement anomaly detection and alerting on core revenue/usage KPIs. - Design scalable KPI dashboards in Apache Superset (daily/weekly/monthly) for executives and operators; enable self-serve exploration. - Establish a governed metrics layer/semantic definitions to keep “one source of truth” across teams. - Use templating/parameterization to make dashboards reusable by region, app, device class, cohort, etc. - Align on schemas, SLAs, and data contracts; improve pipeline reliability and query performance. - Build performant rollups/aggregate tables (daily/weekly/hourly) and materialized views for high-traffic queries; set sensible refresh cadences. - Add tests, documentation, and lineage so models are trustworthy and maintainable. Qualifications - 6+ years in BI/Data Analytics (media/CTV/streaming or ad-supported required), owning high-impact dashboards and analyses. - Expert SQL on modern warehouses (Redshift/Snowflake/BigQuery); comfortable with multi-CTE patterns, window functions, tuning, and semi-structured JSON/SUPER parsing. - Strong BI chops (Superset/Tableau/Looker/Mode) with an eye for clarity, performance, and reuse. We currently use Superset for our visualizations. - Fluency in monetization metrics (ARPU, CPM/eCPM, RPH, fill-rate, auction stages) and attribution nuances. - Familiarity with streaming/app lifecycle data (sessions, playback, retention, cohorts) and high-volume event streams. - Excellent communicator: crisp problem framing, clear data stories, and pragmatic recommendations. - Program/project mindset: prioritization, stakeholder alignment, on-time delivery. Nice to Have - Experience using and setting up an “ask-the-data” experience with natural language AI tools, helping stakeholders get quick, reliable insights without deep SQL knowledge in a self-service manner. - Python/R for analytics (pandas, NumPy), notebooks, and lightweight ETL. - dbt for model governance; Airflow/Prefect for orchestration; Git-based workflows and CI for analytics. - Experience with ad tech & measurement (OpenRTB, SSAI, MMPs, household graphs, privacy/consent frameworks). - Time-series forecasting, anomaly detection, and causal inference methods. - Metric layer tools (e.g., dbt Semantic Layer, LookML, Cube/MetricFlow) and documentation/lineage tools. - Spark/PySpark for scale; familiarity with cost/perf tuning in cloud data stacks. Company Description Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

• Validate data integrity across reporting outputs and source systems within your division • Identify discrepancies and investigate root causes in collaboration with the data engineering team • Ensure all data is reviewed and verified before distribution to stakeholders • Proactively surface data quality issues before they reach leadership or clinical teams • Build and maintain dashboards and reports using Looker, Power BI, Tableau, or similar tools • Translate operational and clinical data into clear, structured insights for non-technical stakeholders • Support recurring reporting needs for divisional leadership • Ensure dashboards are simple, usable, and actively adopted by teams • Apply standardized metric definitions as established and governed by BII leadership • Maintain documentation of reporting logic and calculation methods within your division • Escalate metric inconsistencies or definitional gaps to the BII Director for resolution • Work closely with divisional operations and clinical leadership to understand reporting needs • Act as the primary consumer of data engineering outputs — raise pipeline issues through the BII Director • Contribute to broader BII reporting initiatives as directed by BII leadership

Role Description Enabling Keysight growth and maximizing operational excellence, this Finance Business Intelligence Data Analyst position is focused on the development of finance operational reporting, analytics and insights as well as support of Finance BI processes and project management. The position is part of Finance and BI Initiatives and Solutions (FBIS) team and it requires a strong team player who is able to perform independently while staying tightly connected with the geographically distributed team. The position requires a combination of hands-on BI-related technical skills, financial data flow and process knowledge as well as project management experience. - Partner closely with the Finance teams, understand their data needs and address those with intelligent BI reporting data solutions developed in partnership with the IT organization in a timely and sustainable fashion. - Gather business requirements, perform fit/gap and impact analysis. - Take ownership of the projects; organize and manage all aspects of the project from start to finish. - Manage BI backlog, release schedules and milestones along all stages of development life cycle, coordinating across multiple teams. - Ensure the integrity of data by establishing and executing data quality verification procedures. - Support Keysight POR projects by ensuring existing Finance reporting continuity and by developing new BI solutions dictated by the POR. - Work proactively on increasing user adoption by creating and maintaining data dictionaries, catalogues, delivering user training. - Ensure consistency of data security for all existing and new tools, datasets and reports. - Perform Data Steward role for Finance BI organization by participating in Keysight Data Governance team and partnering with stakeholders from Finance, Business, Sales, OF, Marketing, Product Management teams to establish and maintain, clean data semantic layer and proper finance data usage across the company. Qualifications - A mix of creativity with strive for success and a ‘Can-Do’, ‘Will-Do’ attitude. - Ability to work independently with little oversight while maintaining tight connection with the rest of geographically distributed team, putting team’s success and “One Keysight” first. - Ability to listen, interpret and translate loosely defined word problems and requirements into technical specifications, design, development all the way through to the user adoption of finalized solutions. - Ability to communicate effectively in finance functional and business user language as well as technical IT language. - Strong analytical skills, ability to manipulate large volumes of data and synthesize it to meaningful, valuable, actionable insights. - Ability to think strategically in order to develop sustainable solutions, even under pressure of “need it yesterday” situations. - Take pride in data accuracy and quality of developed solutions. - Passion for learning new tools and cross-functional business flows to expand knowledge. - Strong prioritization skills. Requirements - 8+ years of finance functional experience, leaning to finance reporting. - Hands-on experience in BI tools and MS office: Incorta, Denodo or similar, Microstrategy and Tableau or similar, Proficiency in MS Excel. - Understanding of databases such as Snowflake is a plus. - Experience in reporting, data analytics and data visualizations (dashboarding and storytelling). - Knowledge of Oracle ERP (EBS and Cloud, GL, AR, AP, Intercompany, Manufacturing, Order Management, Subscriptions etc.) data flows is a plus. - Understanding of financial consolidations tools (such as Onestream) is a plus. - Knowledge of Zuora RevPro is a plus. - Experience in Data security, standards setting, governance, cataloguing and dictionaries best practices is a plus. - Previous work experience such as Data Analyst, Reporting Lead, Financial Analyst would be relevant to this position. Benefits