[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-data-analyst-intern-policystreet-en-my":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":11,"featured_until":7,"is_active":12,"deactivated_at":7,"is_enriched":12,"processed_job_posting_json":13,"processed_latitude":70,"processed_longitude":71,"processed_employment_types":72,"processed_working_hours":73,"processed_working_hours_labels":75,"processed_home_office":76,"processed_salary_min":67,"processed_salary_max":68,"processed_salary_currency":64,"processed_salary_source":77,"processed_benefits":78,"processed_benefits_labels":81,"processed_industry":82,"processed_skills":7,"processed_job_location":83,"processed_full_address_gmaps":85,"processed_street_gmaps":87,"processed_city_gmaps":89,"processed_postal_code_gmaps":90,"processed_country_gmaps":92,"processed_country_iso_code_gmaps":94,"full_description":16,"formatted_description":95,"processed_employment_types_labels":35,"processed_home_office_labels":33,"processed_industry_labels":37,"processed_it_skills":96,"processed_it_skills_labels":99,"processed_soft_skills":100,"processed_soft_skills_labels":102,"processed_job_expertise_skills":103,"processed_job_expertise_skills_labels":104,"processed_language_requirements":105,"processed_total_experience_years":112,"processed_professional_field":113,"processed_professional_field_labels":118,"processed_leadership_role":11,"processed_date_posted":19,"raw_job_url":119,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":120,"canonical_industry_label":121,"max_cpc":122,"actual_cpc":7},80549,"data-analyst-intern-policystreet","Data Analyst Intern",null,{"name":9,"slug":10,"logo_url":7},"PolicyStreet","policystreet",false,true,{"@context":14,"@type":15,"title":6,"description":16,"hiringOrganization":17,"datePosted":19,"validThrough":20,"jobLocation":21,"jobLocationType":33,"employmentType":34,"industry":36,"skills":38,"baseSalary":62},"https:\u002F\u002Fschema.org\u002F","JobPosting","ABOUT US:\nPolicyStreet\n Group is a full-stack insurance technology (insurtech) group of companies providing digital insurance solutions to businesses and consumers across Asia and Australia.\nThe Group operates through multiple entities across its key markets and business lines, including its insurance distribution, embedded insurance, and reinsurance arms. It partners with over 40 insurance and takaful providers globally to deliver employee benefits and group insurance solutions, insurance aggregation services, and digital infrastructure that simplifies insurance.\nPolicyStreet Group is backed by leading venture capital firms Altara Ventures and Gobi Partners, as well as sovereign wealth funds Khazanah Nasional Berhad and Cool Japan Fund. The Group serves over 10 million customers with more than US$10 billion in sum insured. It was featured in the Financial Times and Statista’s Top 500 High-Growth Companies Asia-Pacific 2026 list and named “Most Disruptive Insurtech in Malaysia” at the Insurance Asia News (IAN) Country Awards for Excellence 2025.\nWHAT YOU'LL DO\nAssist in collecting, cleaning, and organising data from various sources.\nConduct exploratory data analysis to identify trends, patterns, and insights.\nSupport the development and maintenance of dashboards and reports for internal stakeholders.\nCollaborate with cross-functional teams to understand data needs and provide analytical solutions.\nPerform data validation and quality checks to ensure accuracy and reliability of data.\nAssist in developing and implementing data-driven strategies to improve business processes.\nParticipate in team meetings and contribute to discussions on data analysis and interpretation.\nWHAT WE EXPECT OF YOU\n \nFinal year diploma or Bachelor's degree in Data Analyst, Statistics, Mathematics, Computer Science, or a related field. \n \nStrong analytical and problem-solving skills with a keen attention to detail.\n \nExcellent communication and interpersonal skills.\n \nProficiency in Microsoft Office suite (Word, Excel, PowerPoint).\n \nIntermediate experience with SQL and data visualisation tools (e.g. Looker Studio).\n \nExperience with statistical analysis software (e.g., R, Python) is an advantage.\n \nAbility to work both independently and collaboratively within a team.\n \nEagerness to learn and take on new challenges in a fast-paced environment.\n \nPERKS YOU’LL GET TO ENJOY WHILE WORKING HERE!\n \nCollaboration with a talented and youthful team that makes the work and learning a lot more fulfilling and fun.\n \nAnd a well stocked pantry!\n \nJoin Our Team in Shaping the Future of Insurance\nAs a homegrown startup that seeks to innovate how we use and think of insurance, we value teammates who think big, challenge the old ways, and take extreme ownership.\nIn PolicyStreet, we aim to do better, to serve people better. We are committed to pushing boundaries of innovation and to develop Purposeful and Simple insurance solutions for businesses and consumers, narrowing the protection gap and improving financial inclusivity in the region.\nIf you are driven to make change, keen to be at the forefront of insurance innovation, and grow with a team of talented and motivated people, we’d be just as excited to get to know you too!\nFind out more about us via our website at \nwww.policystreet.com\n.\nAt PolicyStreet, we uphold the principles of equal opportunity and embrace diversity. We are committed to a workplace free from discrimination based on race, religion, colour, gender, sexual orientation, age, marital status, veteran status, or disability status.",{"@type":18,"name":9},"Organization","2026-07-15","2027-07-15",[22],{"@type":23,"address":24,"geo":29},"Place",{"@type":25,"addressLocality":26,"addressCountry":27,"addressRegion":28},"PostalAddress","Kuala Lumpur","MY","Wilayah Persekutuan Kuala Lumpur",{"@type":30,"latitude":31,"longitude":32},"GeoCoordinates",3.1140979,101.6640982,"ONSITE",[35],"STUDENT",[37],"Insurance Technology (Insurtech)",[39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61],"Microsoft Office","SQL","Looker Studio","R","Python","Analytical Skills","Problem-Solving","Attention to Detail","Communication","Interpersonal Skills","Teamwork","Independence","Eagerness to Learn","Data Collection","Data Cleaning","Data Organization","Exploratory Data Analysis","Dashboard Development","Report Maintenance","Data Validation","Data Quality Checks","Statistical Analysis","Data-Driven Strategy",{"@type":63,"currency":64,"value":65},"MonetaryAmount","MYR",{"@type":66,"minValue":67,"maxValue":68,"unitText":69},"QuantitativeValue",12000,24000,"YEAR",[31],[32],"student",[74],"FULL_TIME",[74],"onsite","estimated",[79,80],"Collaboration with a talented and youthful team","Well-stocked pantry",[79,80],"insurance technology (insurtech)",[84],"policystreet, kuala lumpur, malaysia",[86],"Unit D-3A-06, Menara Suezcap 1, 2, Jalan Kerinchi Kiri, Pantai Dalam, 59200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia",[88],"Jalan Kerinchi Kiri 2",[26],[91],"59200",[93],"Malaysia",[27],"## ABOUT US:\n**PolicyStreet Group** is a full-stack insurance technology (insurtech) group of companies providing digital insurance solutions to businesses and consumers across Asia and Australia.\n\nThe Group operates through multiple entities across its key markets and business lines, including its insurance distribution, embedded insurance, and reinsurance arms. It partners with over 40 insurance and takaful providers globally to deliver employee benefits and group insurance solutions, insurance aggregation services, and digital infrastructure that simplifies insurance.\n\nPolicyStreet Group is backed by leading venture capital firms Altara Ventures and Gobi Partners, as well as sovereign wealth funds Khazanah Nasional Berhad and Cool Japan Fund. The Group serves over 10 million customers with more than US$10 billion in sum insured. It was featured in the Financial Times and Statista’s Top 500 High-Growth Companies Asia-Pacific 2026 list and named “Most Disruptive Insurtech in Malaysia” at the Insurance Asia News (IAN) Country Awards for Excellence 2025.\n\n## WHAT YOU'LL DO\n- Assist in collecting, cleaning, and organising data from various sources.\n- Conduct exploratory data analysis to identify trends, patterns, and insights.\n- Support the development and maintenance of dashboards and reports for internal stakeholders.\n- Collaborate with cross-functional teams to understand data needs and provide analytical solutions.\n- Perform data validation and quality checks to ensure accuracy and reliability of data.\n- Assist in developing and implementing data-driven strategies to improve business processes.\n- Participate in team meetings and contribute to discussions on data analysis and interpretation.\n\n## WHAT WE EXPECT OF YOU\n- Final year diploma or Bachelor's degree in Data Analyst, Statistics, Mathematics, Computer Science, or a related field.\n- Strong analytical and problem-solving skills with a keen attention to detail.\n- Excellent communication and interpersonal skills.\n- Proficiency in Microsoft Office suite (Word, Excel, PowerPoint).\n- Intermediate experience with SQL and data visualisation tools (e.g. Looker Studio).\n- Experience with statistical analysis software (e.g., R, Python) is an advantage.\n- Ability to work both independently and collaboratively within a team.\n- Eagerness to learn and take on new challenges in a fast-paced environment.\n\n## PERKS YOU’LL GET TO ENJOY WHILE WORKING HERE!\n- Collaboration with a talented and youthful team that makes the work and learning a lot more fulfilling and fun.\n- And a well stocked pantry!\n\n## Join Our Team in Shaping the Future of Insurance\nAs a homegrown startup that seeks to innovate how we use and think of insurance, we value teammates who think big, challenge the old ways, and take extreme ownership.\n\nIn PolicyStreet, we aim to do better, to serve people better. 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