Verified Job
Accounting - Finance
Customer Segmentation Analytics Associate Sr
Accounting - Finance
#338361
Remote / WFH
Job Description
Customer Analytics is a newly formed team that is responsible for understanding customer needs across and generating insights around those needs that are customer-centric, segment-focused, and actionable. Customer Segmentation Analytics will power the broader team and influence business by using data science and machine learning to build strategic customer segments, archetypes, and attributes, and deliver strategic segment-focused analytics on a variety of use cases like marketing, servicing, personalization, among others.
As an experienced practitioner in data science and analytics you will independently contribute to partner with other Data & Analytics teams to understand customer data and business priorities, generate insights based on impactful segmentation and analytics, and influence business decisions that impact customers across all lines of business. You will have an opportunity to work with big data technologies (Hadoop, Spark, Hive, Python, Cloud technologies) and to apply analytical, data science skills and strategic skills to broad range of challenges faced by the enterprise.
Job responsibilities
Plan, execute, and deliver customer-centric analytical projects, including: A segmentation framework, with varying levels of granularity, to deeply understand customers at scale
Attributes that describe customers' financial needs and behaviors. Data assets that define customer archetypes and describe them (e.g., market share, engagement, performance)
Strategic analyses for a variety of segment-focused use cases (e.g., marketing, servicing, personalization) Segment-level dashboards that inform executives on critical KPIs
Become a trusted partner and thought leader on customer data and data science & analytics techniques
Establish and manage relationships with internal partners Deliver rapid and scalable solutions that generate high quality output
Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones. Build expertise on customer data from all lines of business
Synthe analytical findings for senior business executives in written and verbal formats and influence decisions that impact customers across lines of business
Required qualifications, capabilities, and skills
Around 5years of hands on experience in data and analytics,(SQL,Python,Data Wrangling) or related consulting in consumer financial services
Proven analytics skills â€' should have strong hands-on experience(at least 5+ years of relevant exp.) inanalyzing data, extracting insights, preparing stories, recommending business the suitable solutions/strategy.
Demonstrated experience in Analytics and ML applications (K-means, XGB, CART, Logistic Regression) with a record of delivering analytics.. Experience inclustering / segmentationprojects is a plus.
Experience in at least one of the following required: Credit Cards, Personal Lending, Home Lending or Deposits/Investments.
Familiarity working in cloud based environments and developing production level code to execute applications. Tableau knowledge a plus. Excel (intermediate to advanced knowledge ) Data Visualization (beginner to intermediate)
Experience working independently as well as in teams in agile environments
5.00-8.00 Years
As an experienced practitioner in data science and analytics you will independently contribute to partner with other Data & Analytics teams to understand customer data and business priorities, generate insights based on impactful segmentation and analytics, and influence business decisions that impact customers across all lines of business. You will have an opportunity to work with big data technologies (Hadoop, Spark, Hive, Python, Cloud technologies) and to apply analytical, data science skills and strategic skills to broad range of challenges faced by the enterprise.
Job responsibilities
Plan, execute, and deliver customer-centric analytical projects, including: A segmentation framework, with varying levels of granularity, to deeply understand customers at scale
Attributes that describe customers' financial needs and behaviors. Data assets that define customer archetypes and describe them (e.g., market share, engagement, performance)
Strategic analyses for a variety of segment-focused use cases (e.g., marketing, servicing, personalization) Segment-level dashboards that inform executives on critical KPIs
Become a trusted partner and thought leader on customer data and data science & analytics techniques
Establish and manage relationships with internal partners Deliver rapid and scalable solutions that generate high quality output
Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones. Build expertise on customer data from all lines of business
Synthe analytical findings for senior business executives in written and verbal formats and influence decisions that impact customers across lines of business
Required qualifications, capabilities, and skills
Around 5years of hands on experience in data and analytics,(SQL,Python,Data Wrangling) or related consulting in consumer financial services
Proven analytics skills â€' should have strong hands-on experience(at least 5+ years of relevant exp.) inanalyzing data, extracting insights, preparing stories, recommending business the suitable solutions/strategy.
Demonstrated experience in Analytics and ML applications (K-means, XGB, CART, Logistic Regression) with a record of delivering analytics.. Experience inclustering / segmentationprojects is a plus.
Experience in at least one of the following required: Credit Cards, Personal Lending, Home Lending or Deposits/Investments.
Familiarity working in cloud based environments and developing production level code to execute applications. Tableau knowledge a plus. Excel (intermediate to advanced knowledge ) Data Visualization (beginner to intermediate)
Experience working independently as well as in teams in agile environments
5.00-8.00 Years
