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This analyst will work closely with the Growth Marketing team to help drive our user acquisition efforts, with a focus on Paid Search (SEM). Experience with data visualization tools (Tableau, Power BI, Domo, etc.
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Proficient hands-on experience in operation and data analysis of XRD, SEM, EDS, ICP, FT-IR, TGA, PSA, and BET. Generates and organizes project presentations and technical data for internal and external reviews.
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Reporting to the Communications Director, the Deputy Digital Director the strategy and execution of the organization's digital marketing plans across a range of channels - including paid search, paid social, SEO and more.
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Understanding of materials for energy storage; experience with building and testing lithium ion batteries is strongly preferredProficiency in data analysis and interpretation using software such as JMP, Python, or equivalent.
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Hands-on experience with wafer fabrication tools (etch, deposition, patterning) and metrology tools (AFM, SEM, thin film measurement, etc.) This is a hands-on process engineering role- that means getting your hands dirty with design-of-experiments, analyzing data, research, and processing (we bring up our interns on most of our tools and allow them to use them independently- dry etch, deposition, metrology.
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Proven track record in demand generation and growth marketing, with a deep understanding of performance marketing channels, ABM, and SEO/SEM strategies. Demand Generation & Growth: Own demand generation initiatives, utilizing digital marketing channels such as SEO, SEM, paid media, email marketing, and account-based marketing (ABM) to generate high-quality leads and drive pipeline growth.
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Utilize advanced metrology techniques such as scanning electron microscopy (SEM), DC and AC material and device characterization electrical methods, differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) to evaluate and improve material properties.
$80,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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The Systems and Discovery Services Department, within the Library IT Division, provides Library-wide support for Berkeley's Integrated Library System (ILS) Alma, and Primo VE discovery service (branded as UC Library Search.
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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
$180,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Strong experience with a broad assortment of materials characterization tools (e.g., XRD, SEM, XPS), static magnetic (e.g., VSM, MPMS) as well as high frequency magnetic characterization (e.g., FMR.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Own growth marketing channels including digital ads (including SEM/SEO, LinkedIn, Display, and remarketing), marketplaces, website/funnel optimization, and collaborative initiatives with brand and product marketing, reporting directly to the CMO.
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Validated experience in a similar role such as Solutions Architect, Technical Consultant, or Pre-sales Engineer, with hands-on experience with GenAI Search or equivalent technologies. We are actively seeking a Principal Customer Architect with an understanding of technology and deep expertise in Vector & GenAI Enterprise Search.
$291,400 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Digital Marketing: Drive digital marketing efforts, including social media, email marketing, SEO/SEM, content marketing, and e-commerce strategies to increase brand visibility and customer engagement.
$195,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience working with Google Cloud Platform (GCP) and its data storage services (GCS, BigQuery - a plus). Utilize DBT to model and transform data within Snowflake, adhering to best practices for data governance and maintainability.
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Build scalable data pipelines for both real time and batch using best practices in data modeling, ETL/ELT processes utilizing various technologies such as Spark, Kafka, Python, Airflow, Glue, Elastic Search, Lambda and EMR. Setup reliable data ingestion pipelines for new data sources and integrate them with other data sets.
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