Senior Data Analyst – Product
3 weeks ago
Why You'll Love Cisco
Everything is converging on the Internet, making networked connections more relevant than ever before in our lives. Our employees' progressive ideas impact everything imaginable - from entertainment, retail, healthcare, and education, to public and private sectors, thoughtful cities, sensible cars, and everyday devices in our homes. Here, that means you'll take creative ideas from the drawing board to powerful solutions that have real world impact. You'll work with Cisco leaders, partner with experienced mentors, and develop incredible relationships with colleagues who share your interest in connecting the unconnected. You'll be part a team that cares about its customers, enjoys having fun, and you'll take part in changing the lives of those in our local communities. Cisco tops the 26th annual Fortune 100 Best Companies to Work For list in 2023 for the third consecutive year. Come prepared to be inspire
Who You'll Work With
You'll be part of the Product Operations "Business Intelligence" team and will be working with the product operation partners, IT & multi-functional teams (within and outside the Supply chain)
What You'll Do:
Product & Component Operations central Business Intelligence (BI) team provides solutions to complex data problems using BI and AI/ML techniques and collaborates across supply chain functions. We are looking for an “Inspiring leader” who drives our vision and BI transformation using an out-of-the-box approach.
As a Senior Data Analyst, you will work closely with the business and BU verticals teams to understand their needs, assess the impact on business processes, tools, and data, and ensure successful implementation.
You will also develop intuitive, advanced analytics and actionable insights to enable business stakeholders and transformation leads to eliminate operational bottlenecks, improve process efficiency, and achieve positive business outcomes. You will analyze the requirements and design, define, and implement end-to-end advanced BI solutions that meet the business requirements. You'll utilize the latest BI visualization technologies/platforms and methodologies.
This role also involves understanding Supply Chain business operations problems and challenges, developing new strategies for acquiring, analyzing, modeling, and storing data, leading in data collection and data pipelining, cleaning/processing/transforming data sets, applying AI/ML models, highlighting insights, etc., and leading technical discussions and project implementation related to supply chain transformation areas.
You will partner with business team members (architects, GPOs, BU verticals, and other supply chain functions) to design new business capabilities, help drive data and analytics projects to completion, and define system technical use cases and architecture specifications that align with business requirements or needs.
You've got a solid background as a Senior BI Solution Lead, Architect, Data Analyst, or similar role. You have an In-depth understanding of BI tools and database structure /principles. You have Experience gathering and analyzing system requirements.
Who you are
You are a candidate with a passion for data. You are highly organized, a strong verbal and written communicator, flexible, and able to work independently to figure out steps for meeting stated goals on time.
Qualification/Experience:
Bachelor’s degree in computer science, information management, Statistics, Mathematics, or equivalent with experience in data modeling and/ or evaluating key performance indicators and operational success metrics. Has 6+ years of experience in leading D&A solutions for Business Operations. Demonstrable experience as a data analyst or in a similar role. Develop architectural strategies for data modeling, design, and implementation to meet stated requirements for metadata management, operational data stores, and ‘Extract Transform Load’ environments. Experience reviewing existing data architectures to determine overall effectiveness and compliance with original objectives and develop comprehensive strategies for improvement. Expert in designing relational databases to support business enterprise applications and physical data modeling according to project requirements for data acquisition and security as well as customer-defined results. Collaborate with internal and external personnel, including system architects, software developers, database administrators, design analysts, and information modeling experts, to determine project requirements and capabilities and strategize development and implementation timelines. Experience designing and developing advanced analytics/dashboards / KPIs / Metrics to enable data-driven decision-making for business stakeholders.
Technical Skills/Knowledge required:
Minimum Requirements
Excellent knowledge of visualization tools like Power BI, ThoughtSpot, and Tableau. Ability to write robust, clean, and efficient code in Python, R & SQL Experience managing Google Cloud Platform (GCP) or AWS Expert in platforms/applications like Snowflake, SQL, Oracle, and other database modeling and management tools Solid understanding of web frame development using React, Streamlit or Flask Proficient in data analysis, data exploration, data wrangling, and data validation Experience with data warehousing and data integration tools.
Added advantage
Google Cloud Certified Professional (Data Engineer, Cloud Architect) Proficiency in wrapping ML models into APIs and deploying them on the cloud; Google Cloud Platform experience (GCP). Deep knowledge of math, probability, statistics, and algorithms Proficiency with machine learning frameworks and libraries (like scikit-learn) Ability to define and construct a full pipeline for ML/AI solutions: idea generation, use case definition/feasibility/proof of concept, dataset creation/processing/cleaning, feature engineering, model building/enhancement/selection/tuning, production deployment
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