Senior Data Analytics

Greetings from PhotonWe hope you are staying safe. We are hiring Senior Data Analytics - Santa Monica, CAWhat are we looking for?Job Overview:We are looking for a Data Analytics Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoy optimizing data systems and building them from the ground up. Responsible for providing support to the division by providing data reporting needs. Independently performs reporting related tasks which are guided by policies, procedures, contracts and regulations requirements. Selects the best methodology to achieve the results identified in a plan of work or project. Responsible for collecting information based on facts, perform analyzes and makes recommendations that will be used by others in a higher hierarchical level.Responsibilities for Data Analytics Engineer:Create and maintain optimal data pipeline architecture, assemble large, complex data sets including images, geographical etc that meet functional / non-functional business requirements.Develops new reports, dashboards, predictive analysis and other means to enable transparency and to monitor network management operational processes and to provide timely information to senior management regarding status of compliance with guidelines, rules/regulations and internal policies and procedures and to assist with decision-making and tracking accountability.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Determines the mechanisms for obtaining data on the use, clinical and demographic that is required internally and externally for analysis (programs, systems, etc.)Coordinates plans and executes the analysis of reported data in the areas of Clinical testing, Research data, health insurance, Blue Cross Blue Shield Association, Department of health, HEDIS and othersBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.Collaborates with cross-functional team to ensure compliance and quality requirements are met per local and federal laws and regulations and other agencies as applicable. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Work with other data and analytics experts to strive for greater functionality in our data systems.Qualifications for Data Analytics Engineer:Experience building and optimizing big data ETL pipelines, architectures and data sets.Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workload management.A successful history of manipulating, processing and extracting value from large disconnected datasets.Working knowledge of message queuing, stream processing and highly scalable big data stores. Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment.Skillsets for Data Analytics Engineer:We are looking for a candidate with 4-6 years of experience in a Data Analytics Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.They should also have experience using the following software/tools:Experience in any open-source analytics and interactive visualization web application Experience is a must.Experience with big data tools: Spark, Kafka, HBase, Hive etc. Experience with relational SQL and NoSQL databases.Added advantage of experience with AWS cloud services, stream-processing systems, object-oriented/object function scripting languages.