Job Title: System/Data Analyst (CRMA – Customer Relation Management Analytics)

Location: Mumbai

Need Immediate Joiner (or) Max of 15 Days Notice Period.

• Primary Skill: CRMA Candidate should have Microsoft Dynamics 365 CRM or Salesforce CRM Analytics experience.
• Secondary: Python, Alteryx, DBT, Snowflake/SQL/Oracle/BigQuery/Redshift
  
  

First round of vetting with BR followed by 30 minutes Delivery screening at Turing followed by the client interview.

Data Analytics - CRMA

Primary Responsibility

Must have

The ideal candidate will have functional knowledge in Sales and Marketing processes and core data engineering technologies such as databases, BI, Alteryx and Tableau tools. The

individual will work closely and partner with global sales enablement, analytics client management, operations, and finance teams to deliver on projects that provide the capabilities defined in the target operating model.

• Strong database management skills – Alteryx, DBT, Tableau & CRM Analytics.
• Build/maintain data analytics & intelligence capabilities, support management of
  
  

data & analytics ecosystem.

• Build data intelligence solutions including data quality tools, data on demand,
  
  

executive reports/dashboards.

Collaborating extensively with clients to gain a deep understanding of their data

requirements and translating them into robust technical solutions.

Provide support throughout the product & platform enhancement lifecycle,

manage user queries.

Secondary Responsibility: Good to have.

• Database management skills – Snowflake/ Redshift / Bigquery/SQL/Oracle,
  
  

Python & DBT

• Cloud infra e.g. ADLS & ADF or S3 & Glue or Airflow or Databricks etc.
• Relational and dimensional data modeling.
• Top-notch lead engineering talent with 7+ years of experience building and
  
  

managing data related solutions preferably in the financial industry.

Designing and developing efficient data ingestion processes, data models, and

data pipelines leveraging the power of Snowflake/ Redshift / Bigquery

Implementing end-to-end ETL/ELT workflows to seamlessly extract, transform,

and load data into Snowflake/ Redshift / Bigquery

Conducting thorough data quality assessments and implementing effective data

governance best practices.

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