We exist so music can persist. Our family of brands has put more instruments into the hands of more people than anyone on the planet. Come meet the family or, as we call them, The Guitar Center Company.

It's called Guitar Center. But there's more to us than guitars and basses.
We carry all kinds of musical instruments, plus essentials like amplifiers, recording equipment, lighting, live sound, DJ gear, with services like lessons, rentals and repairs. How do we do it all? With the most talented group of music-loving employees in the world. Their knowledge and passion for music has transformed us from being music retailers into being music champions.

Guitar Center Professional is a network of account managers and engineers with direct access to the world’s best manufacturers. From personal studios to concert venues, we design and install custom audiovisual systems that exceed your expectations.

Musician's Friend started in a garage, moved to a barn, and is now a highly regarded e-commerce site offering combo-focused instruments and equipment for established musicians. Gear Advisers offer expert advice, understand the journey of a musician and, like a good friend, are there to help every step of the way.

Audio Visual Design Group (AVDG) meticulously designs, engineers and installs next-gen audio, video and lighting systems for homes and businesses around the globe. Their world-class technical staff brings the most incredible personal musical experience to everyone on the planet.

Music & Arts believes deeply in the transformative power of music. Their collaboration with students, parents and teachers includes providing lessons, rentals, repairs, plus all levels of band & orchestra sales and service.

Woodwind & Brasswind provides flutists, tuba players, violinists and percussionists with everything they need. Proving, once again, music unites us all, WWBW works with schools, businesses and households in more than 90 countries around the world.

Data Analyst will be responsible for qualitative and quantitative analysis of enterprise-wide data. Connect with business teams to capture and analyze complex business problems. Provide guidance and support on Self-Serve capabilities using Tableau and Redshift. Chosen candidate will be a visual designer and storyteller, building Tableau data sources, statistical and regression models to support applications and will be part of a team operationalizing the model outcomes into user facing applications. Candidate should be more business savvy than Data Science savvy and will be involved in translating to stakeholders, figuring out issues and helping them deliver data stories better, in addition to hands-on involvement with data. Selected candidate will be affectively bridging the gap in communication between data scientists/ data engineers and stakeholders

RESPONSIBILITIES/DUTIES

• Highly experienced in developing Tableau Dashboards and data models using custom sql, data extracts and real time integrations with Redshift data base

• 4+ years of experience in full lifecycle implementation and support of BI solutions

• 4+ years of experience in design, development, testing, deploying and supporting data visualizations and analytics solutions using SQL on Amazon Redshift, Spectrum, Oracle DB as well as using Tableau, Kibana, Power BI and like tools

• Very strong SQL skills mandatory to be self-sufficient with data access on Data Lake

• Hands on experience in developing and managing Data Catalog, Data Dictionary & Data Governance models is a must

• Hands on experience building regression, classification, Deep learning models and taking it to production with good accuracy rates

• Experience in building unsupervised continuous learning models and work with data engineers to optimize and operationalize.

• Should be hands on with R or Sagemaker, Jupiter notebook or like platforms to analyze and build models

• Self-sufficient in handling large volumes of data with excellent SQL skills on columnar and relational data bases

• Eager to learn / get trained on new Time series data stores like Apache Pinot

• Familiarity or experience with Apache Pinot or like time series data store is a plus

• Exposure to AWS Lambdas, Kubernetes, Kubeflow, Airflow for orchestration is a plus but not mandatory

• Working knowledge on Operationalizing ML models through serverless architecture and support unsupervised continuous learning models is a plus

• Take over and scale our data models (Tableau, Dynamo DB, Kibana)

• Communicate data-backed findings to a diverse constituency of internal and external stakeholders

• Participate in technical decisions and collaborate with talented peers.