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Credence HR Services | is Hiring | Customer Analytics Data Engineer | BigDataKB.com | 06-04-22

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

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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 customers’ evolving needs and business objectives.

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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:

• 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

• Engineer and modernize data solutions for end-to-end reporting and deep dive analytics

at scale complete with proactive data quality controls

• Work to identify and resolve existing data gaps in addition to monitoring, communicating

and driving progress

• Design and implement approaches to capture new signals at scale

• Enhance and augment our data taxonomies with customer centric meta-data


 Essential Functions & Responsibilities:

• Evolve and deliver the source files, datasets, fields, and meta-data critical to delivering

Customer Experience and Customer Journey analytics and reports

• 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

• 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

• Drive automation, improve configuration, tuning, and performance of the existing data

pipelines and reports

• Contribute to sharing and technical documentation of technical upstream sources,

transformations and downstream dependencies

•  Adhere to data governance, and transparency


• Bachelor’s in Computer science, Data Engineering, Architecture or related quantitative

degree plus 4+ years of working experience in a large scale data environment

• Deep knowledge of SQL and ETL: data retrieval, data transformation, data pipeline

• Strong relationship-building skills with demonstrated ability to manage cross-functional

projects across data engineering, data governance, product management and analytics

• Exceptional problem solving and analysis skills, combined with the ability to troubleshoot

and resolve data issues

• Excellent written and verbal communication skills to design and provide clear executional

tasks with a keen attention to detail, quality output and timelines

• 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)

• Proficient in the acquisition, processing and surfacing of enterprise data assets

• Knowledge of database/data sets/schema design and development in addition to

automation and scheduling (i.e. Control M/Airflow)

• Experience with Agile methodologies

Apply Here

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