Data Analyst - Consumer Marketing Analytics

Role - Data Analyst - Consumer Marketing Analytics

Experience - 3 Years to 5 Years

Location - Bangalore

Core Responsibilities :

- Writing and tuning SQL queries and in a highly dynamic environment to map different Consumer Marketing data sources like Google Ad Server, DCM, Double Click, Google Search/Ads. Campaign Metadata, consumer data sources mapping and connectivity through tagging parameters and deidentified ids. Marketing measurement expertise highly desirable

- Communicate to share findings from marketing trends and pattern from Analytical Models. Presentable to business partners ensuring interpretation, appropriate detail and recommendations

- Perform detailed analysis of Media, Marketing, Search Engine and Social Ad server's data sources for to define cleansing rules for data quality and modelling

- Ad-hoc queries, reporting, dashboard and views creation, maintenance and automation with drill down visualizations

- Continuous learning and experimenting new possibilities for Consumer Marketing Analytics and Analysis. Proactive and enthusiastic to adopt new marketing EDAs

Required Skill :

- 5-8 years of in-depth hands-on experience in data mart to create and support business/data analytics, business intelligence tools

- Expertise in defining Consumer Journey touch points, measurement approaches and connectivity across digital engagement platforms and sources

- Experience in gathering business requirements, transforming data and preparing readout and recommendation narratives from Analytics and share with Business users. Maintain documentation and cadence of the deliverables

- Advanced proficiency in SQL for exploratory data analysis and present findings in visualization, SQL with joins aggregation and manipulation of data to find anomalies from digital and marketing data collection

- Strong working knowledge of visualization tools such as Tableau, PowerBI or Quicksight (PowerBI preferred)

- Creative problem solving, organization, attention to detail, flexibility and adaptability

- Comfort with ambiguity and a willingness to work with a high degree of autonomy

- Demonstrated ability to meet deadlines while managing multiple large-scale projects in a fast-paced and rapidly changing environment

- Should be adaptable with changing priorities and open to picking up new technical skills and data processes.

- Demonstrated experience working in cross-functional, cross-geography teams

Education : Bachelor's degree or master's degree in technology, Statistics or Computer Science background

- Does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.