Senior Analytics Engineer Job Description
Senior Analytics Engineer Duties & Responsibilities
To write an effective senior analytics engineer job description, begin by listing detailed duties, responsibilities and expectations. We have included senior analytics engineer job description templates that you can modify and use.
Sample responsibilities for this position include:
Senior Analytics Engineer Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Senior Analytics Engineer
List any licenses or certifications required by the position: TLS, AWS, VCP, ITIL, PCF, GCP, PMP, ASQ, NV, DCV
Education for Senior Analytics Engineer
Typically a job would require a certain level of education.
Employers hiring for the senior analytics engineer job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Engineering, Mathematics, Statistics, Technical, Information Systems, Science, Education, Business, Math
Skills for Senior Analytics Engineer
Desired skills for senior analytics engineer include:
Desired experience for senior analytics engineer includes:
Senior Analytics Engineer Examples
Senior Analytics Engineer Job Description
- Data expert on product features for the rest of the company
- Work with engineering team to continually acquire new data
- Detect and fix data quality issues
- You will be a bridge between app/web developers, statisticians, data miners, product managers, and other Data Engineering & Analytics teams
- You will work with other engineering teams to continually acquire new data
- To raise the bar of the CS DSE team by building impressive and innovative custom visualizations and tools that allow users to easily digest information and ultimately boost CS performance
- Provide end to end SDLC and implementation, with full ownership of stakeholder management and expectation setting, prioritization, development and delivery
- Define infrastructure and libraries to enable ingestion and transformation of 3rd party data quickly and effectively
- Partner closely with the data scientists to enable model training, building, and automation
- Develop smart and intuitive analytics products for the marketing organization
- Deliver data to engineering partners to optimize self-service, using databases such as Teradata, Redshift, Hadoop, and NoSQL databases
- Design and implement data structures to optimize consistency of a data model across data subject areas
- Synthesize data from various domains such as device logs, customer service contacts, and website feedback
- Work with the data infrastructure and engineering teams to ensure that all the required instrumentation and logging is in place to measure the performance of our devices and success of our product features
- Leverage outlier detection mechanisms to identify anomalies across dozens of metrics and dimensions and trigger investigations when appropriate
- Experienced with e-Commerce, web log, or networking data
Senior Analytics Engineer Job Description
- Consume new concepts and technologies quickly, be able to educate technologists on their applicability and usage
- Research, design, and development of a firmwide log analytics platforms
- Provide actionable data insights that will make meaningful differences
- You will work closely with product engineers, data engineers, data analysts and data scientists, to ideate and translate concepts into visualization products
- Take time to understand business analytics landscape, design and engineer custom visualizations that provide business value
- Integrate custom visualizations with enterprise products and enable a seamless, highly performing data product for internal business users
- Become the expert in the landscape of Javascript visualizations
- Prototype and productize data feeds that for downstream predictive models
- Build data pipelines in EC2 and improve upon existing ones
- Build scalable/reliable/high quality data products to enable impactful descriptive analysis and predictive models
- Energetic, enthusiastic, and passionate about enabling business decisions by providing access to information through high-quality dashboards and reports
- Strong experiences with at least 1 scripting language (ie
- Experience with source code management tools such as GIT Fast Version
- Use/Improve implementation of our data pipeline to continuously process events generated by our product
- Have a background in Data warehousing and Business Intelligence
- Experience in building/maintaining end-to-end ETL process
Senior Analytics Engineer Job Description
- Ensure delivery of critical data with expected data quality in a rapid, reliable manner following “lean startup” and Minimum Viable Product (MVP) principles
- Actively explore opportunities to acquire & integrate new data sources to expand breadth & depth of analysis
- Innovate methods to build more robust data pipelines & contribute to internal frameworks & tool expansion
- Influence cross-functional team of business stakeholders, engineers and team members to derive maximum value from data
- Help measure true business performance by defining powerful & easy-to-interpret metrics/KPI’s
- Leverage custom visualization techniques to translate complex information into simple, easy to understand dashboards
- Continually explore better data and methods to improve precision, accuracy and visualizations through tools or code
- Work with off-the-shelf technologies such as MSBI, SPBI, Excel and others to produce indicators and reports
- Develop custom web-based indicators/reports where canned solutions won't suffice
- Implement high-level dashboards to facilitate summary and consumption of key indicators
- Experience with distributed analytic processing technologies (Hadoop, Kafka, Spark, etc)
- Experience in real-time data stream mining and data processing techniques
- Experience deploying and maintaining machine learning models in a production environment
- MapReduce/Hive/Pig/Presto/Spark (etc...) experience
- You can code (preferably in Python or Java or Scala)
- An appreciation for app/web development and software engineering principles
Senior Analytics Engineer Job Description
- Work with founders, UI designers, and product management to realize beautiful, usable web interfaces for enterprise customers
- Key influencer in architecture definition and front end engineering best practices
- Rapid prototype of new product designs
- Mentor other developers in front end development
- Build software and social glue between engineers, scientists, product managers, and other analytics teams
- Perform hands-on work on simple to complex analytic functions Applications
- Work closely with business leaders & other team members to come up with high quality data products
- Utilize visualization best practices, and design thinking to display complex data in a simple but insightful way
- Implement solutions using open source libraries (D3, React, etc) alongside enterprise tools such as Tableau
- Own and maintain existing products & come up with ways to improve them
- Must have strong data manipulation and analysis skills
- Must be proficient with Microsoft office programs (Excel, PowerPoint, Word, Project, Outlook)
- You're ambitious and action-oriented, but not stubborn
- Experience building production data pipelines (using Hadoop, Hive, Pig, Spark, ) on web-scale datasets
- Enjoy creating impressive visualizations that make data insights easily digestible
- Strong expertise working with analytical tools, such as MSTR, Tableau, D3, Shiny or R, to support data analysis, reporting and visualization
Senior Analytics Engineer Job Description
- Understand payments business to identify opportunities and propose solutions
- Meets with user groups to determine the nature of the problem and desired completion schedule
- Analyzes problems and employs appropriate methods to ensure effective resolution/s
- Performs build processes to produce software and to prepare tools for delivery
- Reviews technology trends (e.g., periodicals, internet research, department staff consultations, ) to increase application development expertise
- Participates in UPS company activities (e.g., clubs, committees, ) to foster personal and professional development and to enhance professional marketability
- Participates in internal and external training to increase technical skills, job knowledge, and performance effectiveness
- Breaks down complex ideas into comprehensible concepts to ensure appropriate level of communication and understanding for the project stakeholders
- Leading the team, designing and developing the web services platform
- Run along the cutting edge with an all-star lineup of experts in computer science, software engineering, marketing science, operation research and marketing strategy
- 5+ years’ experience in programming, software design and architecture in Java or Python
- Experience with other BI suites like MicroStrategy or Business Objects is a plus
- An understanding of MPP database systems and query tuning is preferred
- Extensive experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources using SQL and Python
- Experience analyzing data in Hive / Presto / Spark / relational databases
- Strong Tableau experience, including viz development and dashboard optimizations, and experience with other visualization tools