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魅力的な職種名を見つけることは、仕事探しの出発点です。業務内容、応募条件、働き方を自分の経験と照らし合わせましょう。このガイドでは、候補の絞り込み、応募書類の準備、提出先の確認を順番に進めるためのポイントを紹介します。

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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Analytics Engineer II, Marketing Technology - Remote

OneDigital

リモート勤務

勤務地
Remote (United States)
報酬
USD 95000-130000 per annual
勤務時間
Full Time
掲載日
2026年10月10日

応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。

仕事内容

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

Are you looking to accelerate your career without having to hide your authentic self - a place where you can be you? A career that’s making a bigger impact on the world? At OneDigital, we are on a mission to help people do their best work and live their best lives. From the services we offer to the way we show up for each other each day, we are fueling dreams, achieving big goals, and embracing each other’s truest selves. We understand that pursuing a new job is a big deal. Maybe you’re afraid you won’t fit in. Well, here’s the good news. For us, the days of “fit in to get in” are over and being different is not a barrier to getting ahead. Greatness comes in all shapes, sizes, colors, and experience levels. If you are looking for a people-first culture that is wired for growth, driven to serve, and totally committed to having your back, give us a shot. Your best life awaits. Must be eligible to work in the United States without the need for work visa or residency sponsorship. We kindly ask that external recruiters, agencies, and search firms do not contact our hiring managers or employees directly regarding open positions. All candidate submissions must go through our official application process and must be made aware to our internal Talent Acquisition team to verify candidate ownership. Unsolicited resumes or candidate profiles sent to OneDigital without a prior signed agreement will be considered the property of OneDigital. In such cases, OneDigital reserves the right to pursue and hire those candidates without any financial obligation to the agency or recruiter. Our Newest Opportunity: The Analytics Engineer II sits on the Marketing Technology team and develops, maintains, and improves the data solutions that support Marketing and growth reporting. The role combines data engineering, business intelligence, and analytics development to create trusted datasets, maintain reliable pipelines, and deliver operational reporting. Working closely with the Sr. Growth Analytics Manager, you will build a strong understanding of OneDigital's data ecosystem and help improve our data products over time. You will use AI-assisted tools to accelerate pipeline development, testing, and documentation, while retaining accountability for governance decisions, data quality judgment, and business context. Essential Duties and Responsibilities Data Engineering & Integration Develop, maintain, and optimize SQL transformations in Snowflake for Marketing and Sales reporting Build and support ETL/ELT pipelines and integrations across Salesforce, HubSpot, Microsoft Dynamics, Azure, and APIs Follow established CI/CD practices and execute test cases to validate changes before production Monitor scheduled jobs and troubleshoot production issues Data Quality, Governance & Security Monitor data quality, investigate discrepancies, and build automated validation and reconciliation processes Maintain documentation for datasets, data flows, lineage, and transformation logic Apply access controls and follow privacy and handling requirements (PII/PHI) in accordance with company policy, escalating gaps or exceptions to the Sr. Growth Analytics Manager Business Intelligence Development Build and maintain dashboards and reports in Domo and Power BI based on business requirements Develop reusable datasets and semantic models, including clean, structured datasets that support AI and predictive modeling Optimize dashboard performance and usability Analytics Partnership Partner with the Sr. Growth Analytics Manager to translate business requirements into technical solutions Treat recurring datasets and dashboards as products: gather feedback, prioritize enhancements, and document intended use Coordinate with cross-functional data owners when upstream changes could affect Marketing reporting Support ad hoc analytical requests Required Qualifications 2-4 years of experience in analytics engineering, business intelligence, or data engineering Strong SQL skills and experience with cloud data warehouses (Snowflake preferred) Experience building ETL/ELT processes Experience with Domo, Power BI, Tableau, or similar BI platforms Understanding of dimensional modeling and relational databases Experience with Git or version control Working understanding of data security and privacy best practices Strong written and verbal communication, including explaining findings to non-technical stakeholders Strong prioritization skills and the ability to manage multiple requests with minimal supervision Preferred Qualifications Marketing or sales analytics experience Salesforce, HubSpot, Microsoft Dynamics, and API integrations Azure Data Factory or Azure Blob Storage; Coalesce or similar tools CI/CD and automated testing for data pipelines Exposure to preparing datasets for ML/AI; familiarity with data governance frameworks Bachelor's degree in computer science, data science, information systems, or a related field (equivalent experience considered) Desired Characteristics Curious about how data supports business decisions, takes initiative, troubleshoots methodically, values documentation and responsible data handling, and is eager to grow technical, business, and AI/ML knowledge. The typical base pay range for this role nationwide is $95,000 to $130,000 per year. Your base pay is dependent upon your skills, education, qualifications, professional experience, and location. In addition to base pay, some roles are eligible for variable compensation, commission, and/or annual bonus based on your individual performance and/or the company’s performance. We also offer eligible employees health, wellbeing, retirement, and other financial benefits, paid time off, overtime pay for non-exempt employees, and robust learning and development programs. You will receive reimbursement of job-related expenses per the company policy and may receive employee perks and discounts. To learn more, visit: OneDigital is an equal opportunity employer. Not only as a matter of standard, but to honor and celebrate our differences. We believe that the power of ONE starts with you. We are committed to cultivating and preserving a culture that celebrates diversity, insists on equity and inclusion, and connects us. Ensuring our people feel seen, valued, respected, and supported is fundamental to our core values and business goals. OneDigital provides equal employment opportunities to all employees and applicants for employment regardless of their: veteran status, uniformed servicemember status, race, color, religion, sex, sexual orientation, gender identity, age (40 and over), pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, “protected characteristics”). A copy of the Federal EEO poster is linked here. Pursuant to local Fair Chance Ordinances, we will consider qualified applications with arrest or conviction records for employment. For applicable candidates, the following ordinances are linked here to inform you of your rights as an applicant: City and County of San Francisco City of Los Angeles County of Los Angeles Employment decisions shall comply with all other applicable federal, state and city/county laws prohibiting discrimination in employment. OneDigital complies with all criminal history inquiry [or ‘ban the box’] laws in California, Connecticut, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New Mexico, Oregon, Rhode Island, Vermont and Washington. In short, we believe in hiring the most qualified applicant for the position, regardless of background. This posting will remain live while OneDigital is actively accepting applications. Once candidates have been selected, the posting will be removed. OneDigital understands the immense responsibility and opportunities provided by Artificial Intelligence. We utilize advanced Artificial Intelligence [AI] technologies to enhance our recruitment process. This includes using AI to filter candidates based on their qualifications and to rediscover potential candidates from our existing applicant pool. Our AI systems help us efficiently identify the best fit for our open positions, ensuring a streamlined and effective hiring experience. However, AI does not replace the humans in our process. If you have concerns about our use of AI, you may opt out where laws allow. If you have questions about our hiring policies and practices, we would be happy to discuss upon receiving your application. We hope to welcome you to OneDigital and look forward to hearing from you. Thank you for your interest in joining the OneDigital team! Originally posted on Himalayas

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次の仕事で活かしたい職種やスキルから検索を始めましょう。勤務地と職種の条件を調整し、求人を開いて担当業務を比較してください。結果がない場合は、短い検索語を試すか、条件を一つずつ外してみましょう。

必須条件と歓迎条件を分けて確認し、勤務時間、報酬、勤務地が掲載されている場合は目を通しましょう。リモート勤務でも、居住国、就労資格、勤務時間帯が指定されることがあります。現在の募集状況と詳しい条件は企業に確認してください。

募集要件に関連する実際の経験を選び、自分の役割と貢献を説明しましょう。数値は根拠がある場合にのみ使ってください。企業の応募方法に従い、送信前に連絡先、内容、PDFの表示を確認しましょう。

応募前の確認リスト

仕事探しに関するよくある質問

英語の求人が表示されるのはなぜですか?

職種名や説明文は企業が作成したものです。条件や要件を変えないように原文を掲載しています。操作画面とこのガイドは日本語です。日本語の検索で見つからない場合は、「software engineer」のように、掲載言語の職種名やスキル名でも検索してみてください。検索語が自動翻訳されるわけではありません。

リモート求人なら、どの国からでも働けますか?

必ずしもそうではありません。居住国、就労資格、勤務時間帯が指定されている場合があります。元の求人ページで条件を確認してください。記載がない場合は、自分の居住地から応募できると判断する前に企業へ確認しましょう。リモートという表示だけでは、勤務地の制限がないことは分かりません。

検索結果が出ない場合はどうすればよいですか?

より一般的な職種名や一つのスキルで検索し、条件を一つずつ外してみてください。同じような仕事でも企業によって呼び方が異なります。特定の求人が見つからなくなった場合は、企業の採用ページで求人番号を探しましょう。検索条件を広げても、終了した募集が再開するわけではありません。

ResumizeAIから応募が送信されますか?

応募ボタンは外部サイトを開きます。企業または採用サービスの案内に従い、そのサイトで送信を完了してください。ResumizeAIで応募書類を作成しただけでは応募は送信されません。リンク先が企業のトップページの場合は、該当する募集を探してから手続きを進めましょう。

応募書類とカバーレターはどう調整すればよいですか?

募集要件と、自分が説明できるプロジェクト、業務、成果を結び付けます。経験していない技術や実績を加えず、関連する経験を分かりやすく示してください。カバーレターでは応募理由を具体例とともに伝えます。指定された言語とファイル形式に従い、送信前に両方の書類を確認しましょう。