Job Location: Hyderabad/Secunderabad
As a Customer Experience & Journey Data Analyst you will design and deliver objective,
meaningful, customer centric analysis to understand and measure our customers cumulative
experience and behaviors within and across multiple product touchpoints and channels. Your
unique and impactful analysis will be used in to identify pain points and opportunities in addition to
building strong partnerships across the organization to deliver the best possible experiences to meet
our customersโ evolving needs and business objectives.
The data store environment would be Teradata, Hadoop and AWS. Would be using Excel,Tableau,
Adobe Analytics, Alteryx and Control M.
Job Summary
CCB Data & Analytics is searching for an Associate- Customer Experience and Journey
Data Engineer who will be a key member of the Product Customer Experience & Journey Analytics
organization. As a Data Engineer, you will:
โข Work as a key member of our cross-functional team to improve the online and offline
experiences for our customers through data driven strategies and approaches
โข Engineer and modernize data solutions for end-to-end reporting and deep dive analytics
at scale complete with proactive data quality controls
โข Work to identify and resolve existing data gaps in addition to monitoring, communicating
and driving progress
โข Design and implement approaches to capture new signals at scale
โข Enhance and augment our data taxonomies with customer centric meta-data
Essential Functions & Responsibilities:
โข Evolve and deliver the source files, datasets, fields, and meta-data critical to delivering
Customer Experience and Customer Journey analytics and reports
โข Design and implement approaches to scale our internal data structures to enable analyst
and data visualization teams to deliver actionable insights and weekly reporting to our
key stakeholders
โข Effectively communicate and collaborate in requirement gathering of business and
analytic use cases involving the capture of data signals with proper payloads to deliver
standard and bespoke metrics, trends, and analysis in an Aigle environment
โข Drive automation, improve configuration, tuning, and performance of the existing data
pipelines and reports
โข Contribute to sharing and technical documentation of technical upstream sources,
transformations and downstream dependencies
โข Adhere to data governance, and transparency
Qualifications
โข Bachelorโs in Computer science, Data Engineering, Architecture or related quantitative
degree plus 4+ years of working experience in a large scale data environment
โข Deep knowledge of SQL and ETL: data retrieval, data transformation, data pipeline
โข Strong relationship-building skills with demonstrated ability to manage cross-functional
projects across data engineering, data governance, product management and analytics
โข Exceptional problem solving and analysis skills, combined with the ability to troubleshoot
and resolve data issues
โข Excellent written and verbal communication skills to design and provide clear executional
tasks with a keen attention to detail, quality output and timelines
โข Well versed in the latest cloud and data management trends and technologies, including
big data platforms (i.e. Hadoop, Cloudera, Teradata); data collection and capture (i.e.
Adobe Insights/Analytics, Kafka, Splunk); reporting tools (i.e. Tableau, Adobe Analytics);
Journey Analytic platforms (i.e. Bryter CX, Adobe Customer Journey Analytics)
โข Proficient in the acquisition, processing and surfacing of enterprise data assets
โข Knowledge of database/data sets/schema design and development in addition to
automation and scheduling (i.e. Control M/Airflow)
โข Experience with Agile methodologies
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