Customer & Marketing Analytics Manager with MMM,A/B Testing, SQL, Propensity, CLTV Models expertise
1 week ago
Role description
Manager
–
C
ustomer & Marketing Analytics
Location:
Bangalore
(Hybrid),
India
Tredence is a global analytics services and solutions company. Our capabilities range from
Advanced analytics
and Data Management to
Data Visualization
, Big Data, and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost-effectively using a global execution model
leveraging
our clients' existing technology and data assets. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data.
As
a
Manager
, you will:
Work with clients leading marketing & customer roles at Fortune 100 Retailers
Work closely with stakeholders across the organization to gather requirements and understand the underlying business problems. Serve as the bridge between business needs and analytical solutions.
Collaboratively work with leadership and SMEs to create innovative solutions for business challenges. Utilize your understanding of retail data and analytics to drive decision-making.
Leverage your
expertise
in Data such as
Orders
, Merchandising, Customer Data, Click Stream (Digital), Marketing, and Promotions Data, to provide effective solutions.
Utilize advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer
lifecycle.
Be part of the Lead CXM engagements and
strengthen
the delivery by developing scalable & reusable assets, training analysts
,
and
building
a
foundation
.
Assist
in Opportunity
identification
/ POV creation / Proposal for clients.
Apply Agile methods to manage analytics projects efficiently, ensuring they deliver value
quickly.
Lead and mentor a team of data
analysts
and data engineers, fostering innovation and
excellence.
Must-Have Skills:
8
-14
years of professional experience in Analytics,
showcasing
demonstrated
expertise
in retail
, marketing,
and
customer analytics
projects
Demonstrated capability in machine learning domains such as regression, classification, unsupervised learning
Experience in marketing analytics, evaluating campaign effectiveness, test and learn, AB testing, market mix
modeling
, and multi-touch attribution
Experience in Building customer segments, Propensity Models, CLTV Models, Recommender system etc.
Experience
working in
Data Products and
experience in developing
Retail Data
Models
, Customer Data Models
, Promotions Data
Models,
etc.
Advanced programming skills in SQL, Python, and
PySpark
, capable of leading and guiding teams.
Experience
w
orking with
platforms
such as GCP, Azure, AWS
, Databricks
, Snowflake, etc
.
Knowledge of data visualization tools like Tableau and
PowerBI
to craft insightful visual reports and dashboards.
Exceptional problem-solving, organizational, and project management capabilities to navigate complex projects effectively.
5
- years of team managemen
t
Leadership experience with a proven
track record
of mentoring and developing high-performing teams.
Effec
tive communication skills, adept at presenting complex insights to stakeholders in a clear and impactful manner
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