Sr Analyst – Data Strategy P&I

Business Overview
Roundel is Targets entry into the media business; an advertising sell-side business built on the principles of first party (people based) data, brand safe content environments and proof that our marketing programs drive business results for our clients. We operate with the ethos of trust and transparency and that media works best when it works in everyones best interest . At the very root of that, Roundel is here to drive business growth for our clients and redefine value in the industry by solving core industry challenges vs. copy current industry methods of operation. We are here to drive a key growth initiative for Target and to lead the industry to a better way of operating within the media marketplace.
As the Analyst Data Strategy P&I at Roundel , you would responsible for understanding the data needs across team and would also develop and execute a roadmap to maximize data capabilities that align with the evolving needs of the P&I team. You would be the data custodian for the P&I team responsible for scaling the data function in the form of new products and services. You will also be responsible for ensuring that the data across the products is consistent with the highest standards of accuracy. You will do so by bringing your knowledge and expertise of working in a data analytics/data-centric business environment with a strong foundation in data strategy.
You would work towards building new data capabilities in partnership with Roundels Product functions to enhance the reporting and insights machinery within the P&I team. You would work as a conduit between the product and P&I team to simplify data across sources to ensure data consistency and integrity and to develop new custom data products that support multiple use cases (MMM, Custom Analytics, etc.). Additionally, you will coordinate and lead both small and large working sessions withbusiness stakeholders that drive to conclusions,agreement,and outcomes. Key Responsibilities

Data custodian for the P&I team to build and maintain data sets for reporting, insights, custom analytics and visualizations; creating clear documentation and managing accessible data libraries Create new data products that align with evolving P&I reporting needs and result in time and efforts savings for analysts.

Identify automation opportunities , gaps in technology & tools and work with product and business operations team to find solutions & support.

Data Warehousing

Identify new data sets that can be integrated into existing reporting platforms to enrich our reporting & insights

Continue to develop and help drive the strategy for the different data need including data architecture, reporting, insights, analytics, MMM, etc

Data Quality and Reliability

Develop procedures to enhance the accuracy and integrity of data by performing data analysis as well as by collaborating with product team to enhance data collection and storage procedures

Ensure that the data from different sources which flows in the analyst facing products is consistent and accurate for all business use cases

Ensure data accuracy, as well as reporting output quality control, as required also troubleshoot and identify root causes for data inaccuracy- manual v/s system errors

Work with Cross-functional teams Product, Measurement, BII & GTM to align on the data strategy/ data roadmaps and implement solutions.

Contribute to team-upskilling efforts required to familiarize them with the data products as well as also address any data challenges faced by them

About You:

5-7 yrs of working experience; designing, building, and optimizing data structures for ETL processes, data wrangling & processing large data, cleaning and preparing data, querying data, and conducting exploratory analysis with a strong foundation in data strategy.

Masters or bachelors degree in one of the followingAnalytics, Business Intelligence, Economics, Engineering.

Knowledge of database structures, building and improving scalable datasets, and managing data pipelines and infrastructures

Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark and Scala desired but not mandatory

Proven hands-on experience developing and preparing datasets for use in business intelligence (BI) tools such Domo (mandatory), Tableau, and Power BI are good to have)

Knowledgeable in data models, data mining, and segmentation techniques.

Background in Ad-tech or Retail Media Network Experience is desirable but not mandatory

Excellent oral and written communication skills and the ability to summarize and present complex information in a clear and concise manner to technical and non-technical audience

Experience and passion for using data to explain or solve complex business problems and influence the invention of new systematic and operational processes

Experience working with ambiguity in a dynamic and challenging environment to drive long-term sustainable solutions

Proven experience of achieving results by leading, partnering, and influencing peers and leaders