Business Intelligence Developer

4 weeks ago


Folsom, United States BizTech Staffing Full time

We are seeking a seasoned Development Lead with deep expertise in Business Intelligence (BI) and data analytics to spearhead our advanced BI/Data Mart initiatives. The ideal candidate will drive the architecture, development, and optimization of our data systems, ensuring that our BI infrastructure delivers tangible and measurable business benefits.


Key Responsibilities:

  • Provide strategic leadership in the development of advanced BI and analytics systems.
  • Lead the design, development, and maintenance of data architectures, ETL processes, and system infrastructures to support sophisticated BI applications.
  • Own the advanced analytics data environment, ensuring timely data refreshes from various sources to support ongoing research and analytics.
  • Guide and support a multidisciplinary team of data professionals, including analysts and developers, to ensure successful project execution.
  • Lead coding and development efforts using PL/SQL, Perl, and other scripting languages, as well as ad-hoc SQL queries.
  • Ensure that the data infrastructure scales effectively to meet performance, load, and functional objectives.
  • Manage the execution of multiple concurrent projects, varying in scope and duration.
  • Oversee the creation and maintenance of all database objects, including tables, indices, triggers, views, sequences, packages, and procedures.
  • Collaborate with Systems and Database Administrators to address infrastructure needs, including support, storage, backups, monitoring, and performance optimization.
  • Partner with application development and quality assurance teams to manage application releases.
  • Provide senior management with expert advice on best practices in web analytics, data warehousing, data architecture, and data development.
  • Work with BI and other system owners to develop and implement data refresh plans for the research environment.
  • Own the process of web clickstream data collection and support product managers in applying best practices for data definition.
  • Support the project management and documentation needs of the BI and analytics team.


Required Skills:

  • Extensive experience with Oracle databases, including versions 8i, 9i, and 10g, with strong proficiency in PL/SQL, SQL Loader, external tables, partitioning, and performance tuning.
  • In-depth knowledge of Oracle data structures, data dictionaries, and RDBMS architectures.
  • Proven experience as a Data Architect or in DW/BI architecture, with a strong background in database design, performance tuning, scripting, PL/SQL coding, backup, and recovery processes.
  • Experience leading at least two medium to large-scale DW/BI project implementations.
  • Strong understanding of DW/BI concepts, including STAR schemas, data cleansing, transformation, and aggregation.
  • A minimum of 4+ years of current development experience with a focus on BI and data analytics.
  • At least 1+ year of experience with web analytics tools such as WebTrends, NetTracker, or Omniture.
  • Experience in environments addressing customer integration issues through Master Data Management (MDM).
  • Strong verbal and written communication skills, with the ability to convey complex technical and business concepts clearly.
  • A proactive approach to staying current with internet technologies, web analytics, and data management trends.
  • Experience working collaboratively in a team-oriented environment.


Preferred Skills:

  • Experience with business applications such as campaign management, CRM, and ERP.
  • Proficiency in JavaScript or other web front-end scripting languages.
  • Familiarity with column-oriented database solutions like HBase or Infobright.
  • Experience with Hadoop.
  • Oracle database administration experience.
  • Experience with various data reporting tools, including Business Objects, MicroStrategy, and COGNOS.
  • Experience with ETL tools like DataStage, Informatica, or Hummingbird.
  • Experience in metadata management.
  • Familiarity with SAS.



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