Data Science And Business Intelligence Engineer Jobs

Experience managing projects and working with a set of technical and non-technical stakeholders on requirements, roles, responsibilities, and timelines.

Bachelor’s degree or equivalent practical experience.

Experience in one or more programming languages (e.g.,Python, Java, C++, etc.)

Experience in managing complex projects end-to-end.

Experience with advanced analytics (e.g., ML, AI).

Experience communicating and collaborating with global teams to ensure timely delivery of projects and working with teams distributed across geographies.

Strong project management and organizational skills

Experience with data pipeline and workflow management tools

Deploy new solutions and configurations to meet business and compliance requirements.

Manage consultants to ensure compliance with Barnes & Noble engineering and business standards.

Work with multiple business stakeholders in defining the right data requirements to fulfill growing analytics / insights needs across the enterprise

Working experience with Azure DevOps and Source controls.

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

Experience with data visualization using Tableau, Quicksight, or similar tools

Experience with data modeling, warehousing and building ETL pipelines

Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Our team supports stakeholders from client strategy, product management, sales, marketing, finance, engineering, designers and the leadership team

You will work with teams across the company to define BI and analytics requirements

2+ years of data/software engineering experience

You have experience with SQL, Python, ETL/ELT development

You are a team player with collaboration and communication skills

You have proficiency or experience with Airflow

Improve the existing dashboard experience by building analytics that provide insights to improve KPIs.

Fully remote team - choose where you live

Work from home stipend! We want you to have the resources you need to set up your home office

Help merchandizers achieve their e-commerce goals, increasing satisfaction with their sites and retention of customers.

Provide insights to merchants they can't get anywhere else.

Become a critical point of merchant team planning, decision making, and evaluation so we become a sticky part of their organization.

Five years or more experience with database management systems such as SQL, or Hadoop.

Required Education, Training and Experience:

Strong programming skills in Python, C#, or other programming languages commonly used in data engineering.

Process Knowledge: Proficiently analyzes and estimates projects, documents, monitors processes and develops framework for implementation and improvement.

Three years of experience in data engineering or a related field.

One year or more experience with cloud computing platforms.

5+ years of experience delivering analytics solutions in a business environment

Experience solving business problems using statistical and/or machine learning techniques or advanced visualizations

Programming experience with Python, SQL, or similar languages

Experience using Tableau or similar business intelligence tools

Deep knowledge of database/data warehousing concepts and ability to build flexible analytics solutions that can span multiple data sources and technologies

Collaborate with team members to design, develop, and implement proprietary models.

Strong interpersonal skills to build relationships and communicate effectively with managers, staff, and vendors

Have strong SQL querying skills

Hands-on experience with data warehousing

Tune solutions to improve performance and end-user experience

Document requirements and resolve conflicts and clear ambiguities

Contribute to group knowledge sharing platforms and best practice

Provide data engineering with functional and technical requirements to improve efficiency of data pipelines.

Develop complex data models and design patterns for BI/Analytics reporting requirements

Take part in requirements gathering, logical design, physical design, implementation, testing, and deployment.

Experience with Postgres, SQL, ETL, BI Tools

2+ years of experience delivering ETL processes and data visualization tools, including extracting data from various sources, modeling, and analysis.

Experience writing and executing complex SQL queries

3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

Experience with data visualization using Tableau, Quicksight, or similar tools

Experience with data modeling, warehousing and building ETL pipelines

Experience writing complex SQL queries

Experience in Statistical Analysis packages such as R, SAS and Matlab

Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

2-4 years years of experience in some combination of data engineer/analytics roles

Dataframe manipulation experience, either via Python or R

BI tools experience (Tableau, Power BI, Looker)

Critical thinking and problem solving skills

Work with A24’s developer partners for joint projects involving collaboration for various reporting/analytics (e.g., merchandise sales & website activity)

Python proficiency (primary working language)

2-4 years years of experience in some combination of data engineer/analytics roles

Dataframe manipulation experience, either via Python or R

BI tools experience (Tableau, Power BI, Looker)

Critical thinking and problem solving skills

Work with A24’s developer partners for joint projects involving collaboration for various reporting/analytics (e.g., merchandise sales & website activity)

Python proficiency (primary working language)

Curiously and problem solving skills.

Experience analyzing data (within a business environment is a plus).

Experience performing analysis using SQL (Hand-on Python experience is a plus).

Work with Data Analysts/Data Scientists on the BI team and learn how they work with partner teams to provide essential analytics.

Learn the Smartsheet culture, business model and how teams provide value to customers.

Mine large datasets to help develop actionable insights.

Experience in people management (preferred)

Facilitates conflict management, alignment on individual team Partner responsibilities

Strong leadership / management skills

experience in people management (preferred)

A related degree or comparable formal training, certification, or work experience

a related degree or comparable formal training, certification, or work experience

Create and deliver on a business intelligence roadmap that scales our infrastructure, reporting and data model capabilities

Outline the customer journey, and identify levers the business can pull to delight our customer and create sticky experiences

Collaborate cross functionally with analytics teams, engineering teams, and groups of passionate stakeholders dedicated to improving our customer experience

9+ years of analytics experience

Advanced knowledge of data visualization and BI in Looker or Tableau

Advanced knowledge of data models, infrastructure and data architecture

You have a background in statistics, operations research, quantitative economics, ML/AI

You demonstrate being able to communicate horizontally and vertically across many stakeholders

You can hold a vision and drive a vision across complex systems and process

You have a desire to build, teach, and lead a team

Performing discovery, assessment, and ML/AI reengineering of existing decision engines to enable connected and harmonized intelligence to achieve targeted business outcomes

Partnering with Retail Analytics to develop insights and pilot measurement of concepts in support of agile and iterative improvement processes