Commonwealth Financial Network

  • Business Intelligence and Analytics Architect

    Job Locations US-MA-Waltham
    Job ID
    # of Openings
    Technology - Development
  • Overview

    We are not your typical financial services firm. For starters, we’re a fast-growing company with 30 percent of our employee head count in technology. We’ve been recognized as a Best Place to Work 39 times (and counting), and for the past 12 years, Computerworld has ranked us as one of the best places to work in IT nationwide—for good reason.


    Our firm is committed to technology and wants to be the best at what we do. Bring your passion and come work at a place that values your talents! We think and have fun like a start-up (bocce tournaments, annual turkey fry, summer outings, etc.), yet have the financial stability to offer you the best training and technology money can buy.


    Conveniently located on the commuter rail near the intersection of I-95 and the Mass Pike, we’re accessible from anywhere—and away from the congestion of a downtown commute.


    Discover what it’s like to be psyched to come to work every day! We offer you:


    • Generous bonus and stock option incentive plans
    • Use of our chairman’s vacation properties (Cape Cod, Lake Winnipesaukee, Sunday River, Key Biscayne, Las Vegas, Park City, the Bahamas, and the Dominican Republic) at no cost
    • Fully paid maternity leave (12 weeks) and spousal leave (3 weeks)
    • An opportunity to participate in our Idea Lab, a fun and dynamic program that lets us dedicate time to experimentation
    • A more relaxed, “dress for your day” dress code
    • A free on-site fitness center
    • Ample opportunity to volunteer with and support local charities
    • A VTO (volunteer time off) day to use toward a cause that’s important to you
    • Tuition reimbursement
    • Free breakfast on Fridays
    • A competitive benefits package—and much more

    About the Opportunity

    Do you thrive in the world of complex data ecosystems? Do you excel at providing technical leadership against business intelligence, enterprise analytics, and machine learning technologies? Are you interested in expanding your skill set even more?
    We are looking for a senior technologist—an expert problem solver and a strong relationship builder, too—to serve as a leading contributor to our Business Intelligence and Analytics team. Working alongside a diverse set of business partners, you’ll be accountable for applying deep technical knowledge to deliver programs that enhance service provision, improve planning capabilities, and increase efficiency across the firm.
    If you think you have what it takes, then let’s introduce ourselves.


    • Demonstrating a good understanding of complex data ecosystems and leading the technical team toward creating the best possible data and analytical ecosystems to meet our business needs
    • Creating and implementing business intelligence and advanced analytics initiatives and solutions as part of the Business Intelligence and Analytics team
    • Building, implementing, and standardizing varied data integration pipelines (e.g., SSIS, Python, Hadoop, Spark, APIs)
    • Designing, developing, implementing, and maintaining analytics infrastructure, ensuring reliability and performance
    • Driving updated technical adoption by conducting research and making recommendations on new technologies, including machine learning, AI, big data, and other scalable, enterprise, or cloud-based solutions
    • Assessing the viability of advanced analytical models against business use cases and selecting the most appropriate option
    • Serving as a strong advocate to improve analytical capability across the organization
    • Participating in the full life cycle of development, reporting, and integration projects, including planning, design, development, testing, and rollout
    • Delivering reference architectures, which outline architectural principles and best practices for technology advancement, as well as the creation of project artifacts, governance processes, and reference patterns
    • Assisting fellow team members in growing their technical skill sets and educating associated groups on analytics practices and architecture


    • Demonstrated broad understanding of enterprise data analytics and integration technologies with technical hands-on skills and experience
    • Strong understanding of and ability to implement data modeling concepts, especially regarding data warehousing and advanced analytics environments
    • Experience with designing, implementing, and managing application and data integration platforms (SSIS, Informatica, Talend)
    • Experience in modeling, designing, and managing data marts and data warehouse platforms
    • Strong background providing solutions and architecture in the enterprise, analytics, or data integration spaces
    • Advanced knowledge of analytics concepts, practices, methods, and principles, as well as a comprehensive understanding of evolving industry trends and standards, including analytics applications and their supporting architectural requirements
    • Quick learner
    • Strong teamwork, self-management, and problem-solving abilities
    • Relationship builder and team player

    Our ideal candidate would also have experience in several of these areas—and be willing to train on any gaps:

    • Excellent verbal and written communication skills, and the ability to use these skills with business and technology leaders, including executive leadership
    • Knowledge of statistical models normally used in data science
    • Experience designing and implementing ETL processes against unstructured, semistructured, and structured data
    • Experience implementing machine learning, statistical modeling, AI, and cognitive services
    • Knowledge of the Team Data Science Process
    • Managerial experience
    • Knowledge of systems and the integrations between infrastructure technologies (i.e., operating systems, networks, firewalls, and security) and applications 

    Technical skills required and/or desired:

    • SQL, Python, C#, R, SAS, Spark, Scala, Jupyter Notebooks, Redbrick, Kafka, REST APIs, Hadoop
    • MapReduce, HBase, Impala, Oozie, Zookeeper
    • Azure or AWS Cloud Analytic capabilities, IBM Watson
    • Azure Machine Learning\Workbench
    • SSRS, PBI, Tableau, Crystal
    • Erwin, Embarcadero, PowerDesigner


    Have we piqued your curiosity? Can you see yourself thriving in this career opportunity, as well as our Anything but Common® workplace culture? If so—and if your background and experience align with our needs—please do submit your application right away.


    Commonwealth Financial Network® is an equal opportunity employer that is committed to a diverse workforce.


    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed